18 AI Architect jobs in Australia
AI Solutions Architect
Sydney, New South Wales
Avanade Inc.
Posted 4 days ago
Job Viewed
Job Description
Our talented Data & AI Practice is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Come join us
As an AI Architect within our Data & AI Practice, you'll leverage a client-centric approach to translate our client's business strategy into solutions and services that lead to successful, impactful outcomes. You'll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction around data architecture. Together we do what matters.
What you'll do
* As an AI architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts
* Design and architect advanced AI solutions including agentic systems that autonomously perform complex tasks, RAG pipelines for enterprise knowledge management, and custom copilots using Copilot Studio, ensuring seamless integration with existing business processes and data systems
* Assist clients in their journey to Microsoft Azure or leverage their existing investment in it - you can expect a significant focus on applying cloud architectural patterns and migration strategies
* Play a key role in Avanade's sales process with the responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business
* As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization
* Translate complex technical solutions and present them in different formats; to business decision makers into business outcomes, to Market in engaging video or blog format content, to internal Sales Teams in battle card format
* Engage in early conversations with the client and/or sales team and support origination and deal qualification, become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in Orals, Client Presentations, and negotiations discussions with key client buyers
* Complete pricing, using standard solution architecture processes, methods, estimating, and modelling tools to drive quality and minimize time to solution through process and reuse. Understand and leverage different Pricing Models and work with Sales Leads to articulate deal pricing. Ensuring a deal is both winnable and deliverable, mitigating potential risks
Skills and experiences
* Excellent working knowledge of Microsoft; Proficiency in Azure AI Services including Azure ML, Azure AI Search, and Azure Bot Services; knowledge of similar services in other cloud platforms like AWS and GCP is highly regarded.
* Experience with Microsoft AI Foundry or equivalent software for model development and deployment, Copilot Studio for building custom copilots and conversational AI solutions, plus proficiency with modern AI libraries including Transformers, LangChain, OpenAI SDK, and Semantic Kernel
· Proven experience implementing Retrieval-Augmented Generation (RAG) architectures with vector databases (Azure AI Search, FAISS, Chroma), and building sophisticated AI agents using frameworks like LangChain, LlamaIndex, Semantic Kernel, and Model Context Protocol (MCP)
* Skill in programming with Python (must have), R, or .NET (highly regarded).
* Awareness of channels to market and how to work in a Microsoft and partner eco system to ensure Customer Success.
* High energy intent to help clients understand product and service evolution. Including Azure Open AI, Fabric and Co-Pilot
* Working knowledge and experience of Microsoft Funding processes such as ECIF, GTM Solution Plays / Marketplace and GTM Workshop Offers c
* Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve platforming/re-platforming Data Solutions within Azure cloud, utilizing tools such as Databricks and Fabric
* Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior ("C level") client executives
* Experience in designing and delivering large-scale enterprise grade AI solutions
* Identifying and designing for key architectural characteristics such as performance, security, and reliability
About you
Characteristics that can spell success for this role
* You are passionate about tech and engaging with and advising clients
* You likely possess an advanced degree in a quantitative field such as computer science, applied mathematics, statistics, or machine learning. At Avanade we also support an equivalent combination of education and experience.
* Proven success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required
* Extensive experience working with large complex enterprise accounts architecting cloud solutions for data estate workloads and implementing large scale data projects within the cloud environment
* You are acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence remote teams, ensuring successful implementation of customer projects
* Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management
Enjoy your career
Some of the best things about working at Avanade
* People-first culture that supports innovation and encourages people to move forward
* Turn your ideas to human impact by cultivating a team that will help clients unlock what's next
* Opportunities to innovate in the Microsoft platform while charting your own career path
* On-the-job growth through hackathons, innovation contests, and other expressions of our passion for innovating with purpose
* Real-time access to technical and skilled resources globally
Find out more about some of our benefits (1) here.
A great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look!
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our (2) Inclusion & Diversity page.
Create a future for our people that focuses on
- Expanding your thinking - Experimenting courageously - Learning and pivoting
Inspire greatness in our people by
- Empowering every voice - Encouraging boldness - Celebrating progress
Accelerate the impact of our people by
- Amazing the client - Prioritizing what matters - Acting as one
Learn more
To learn more about the types of projects our Data Engineering team works on check out these case studies:
* (3) What matters to Anglian Water is delivering clean water using digital twin and AI technology
* (4) What matters to SSE Renewables is innovating for a sustainable future
* (5) Hachette UK enables employees with machine learning-driven contract searches
* (6) What matters to PageGroup is using AI to grow businesses and career opportunities
Interested in knowing what's going on inside Avanade? Check out our blogs:
* (7) Avanade Insights - exchange ideas that drive tomorrow's innovation
* (8) Inside Avanade - explore what life is like working at Avanade
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.
Come join us
As an AI Architect within our Data & AI Practice, you'll leverage a client-centric approach to translate our client's business strategy into solutions and services that lead to successful, impactful outcomes. You'll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction around data architecture. Together we do what matters.
What you'll do
* As an AI architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts
* Design and architect advanced AI solutions including agentic systems that autonomously perform complex tasks, RAG pipelines for enterprise knowledge management, and custom copilots using Copilot Studio, ensuring seamless integration with existing business processes and data systems
* Assist clients in their journey to Microsoft Azure or leverage their existing investment in it - you can expect a significant focus on applying cloud architectural patterns and migration strategies
* Play a key role in Avanade's sales process with the responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business
* As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization
* Translate complex technical solutions and present them in different formats; to business decision makers into business outcomes, to Market in engaging video or blog format content, to internal Sales Teams in battle card format
* Engage in early conversations with the client and/or sales team and support origination and deal qualification, become the trusted advisor. Prepare and represent the solution in Deal Reviews and play an active role in Orals, Client Presentations, and negotiations discussions with key client buyers
* Complete pricing, using standard solution architecture processes, methods, estimating, and modelling tools to drive quality and minimize time to solution through process and reuse. Understand and leverage different Pricing Models and work with Sales Leads to articulate deal pricing. Ensuring a deal is both winnable and deliverable, mitigating potential risks
Skills and experiences
* Excellent working knowledge of Microsoft; Proficiency in Azure AI Services including Azure ML, Azure AI Search, and Azure Bot Services; knowledge of similar services in other cloud platforms like AWS and GCP is highly regarded.
* Experience with Microsoft AI Foundry or equivalent software for model development and deployment, Copilot Studio for building custom copilots and conversational AI solutions, plus proficiency with modern AI libraries including Transformers, LangChain, OpenAI SDK, and Semantic Kernel
· Proven experience implementing Retrieval-Augmented Generation (RAG) architectures with vector databases (Azure AI Search, FAISS, Chroma), and building sophisticated AI agents using frameworks like LangChain, LlamaIndex, Semantic Kernel, and Model Context Protocol (MCP)
* Skill in programming with Python (must have), R, or .NET (highly regarded).
* Awareness of channels to market and how to work in a Microsoft and partner eco system to ensure Customer Success.
* High energy intent to help clients understand product and service evolution. Including Azure Open AI, Fabric and Co-Pilot
* Working knowledge and experience of Microsoft Funding processes such as ECIF, GTM Solution Plays / Marketplace and GTM Workshop Offers c
* Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve platforming/re-platforming Data Solutions within Azure cloud, utilizing tools such as Databricks and Fabric
* Capability in creating design artifacts and presenting them for approval at architectural forums attended by multi-disciplined stakeholders from engineering to senior ("C level") client executives
* Experience in designing and delivering large-scale enterprise grade AI solutions
* Identifying and designing for key architectural characteristics such as performance, security, and reliability
About you
Characteristics that can spell success for this role
* You are passionate about tech and engaging with and advising clients
* You likely possess an advanced degree in a quantitative field such as computer science, applied mathematics, statistics, or machine learning. At Avanade we also support an equivalent combination of education and experience.
* Proven success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications required
* Extensive experience working with large complex enterprise accounts architecting cloud solutions for data estate workloads and implementing large scale data projects within the cloud environment
* You are acknowledged for driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence remote teams, ensuring successful implementation of customer projects
* Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management
Enjoy your career
Some of the best things about working at Avanade
* People-first culture that supports innovation and encourages people to move forward
* Turn your ideas to human impact by cultivating a team that will help clients unlock what's next
* Opportunities to innovate in the Microsoft platform while charting your own career path
* On-the-job growth through hackathons, innovation contests, and other expressions of our passion for innovating with purpose
* Real-time access to technical and skilled resources globally
Find out more about some of our benefits (1) here.
A great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look!
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our (2) Inclusion & Diversity page.
Create a future for our people that focuses on
- Expanding your thinking - Experimenting courageously - Learning and pivoting
Inspire greatness in our people by
- Empowering every voice - Encouraging boldness - Celebrating progress
Accelerate the impact of our people by
- Amazing the client - Prioritizing what matters - Acting as one
Learn more
To learn more about the types of projects our Data Engineering team works on check out these case studies:
* (3) What matters to Anglian Water is delivering clean water using digital twin and AI technology
* (4) What matters to SSE Renewables is innovating for a sustainable future
* (5) Hachette UK enables employees with machine learning-driven contract searches
* (6) What matters to PageGroup is using AI to grow businesses and career opportunities
Interested in knowing what's going on inside Avanade? Check out our blogs:
* (7) Avanade Insights - exchange ideas that drive tomorrow's innovation
* (8) Inside Avanade - explore what life is like working at Avanade
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.
This advertiser has chosen not to accept applicants from your region.
0
Partner Solution Architect - AI Business Process
Microsoft Corporation
Posted 4 days ago
Job Viewed
Job Description
In SME&C we have set out with the purpose of empowering our customers through the unique value of the Microsoft cloud by building a globally led, digital-first scale organization aligned with partners. The SME&C organization is one of the fastest growing customer segments for Microsoft - this is where you come in. You will lead a team who supports a set of partners, at scale, in identifying and achieving their customers' business objectives through best-in-class digital engagement and co-selling. You will also have an opportunity to work cross-collaboratively while living our shared SME&C Culture priorities: Diversity and Inclusivity, Wellbeing, Sustainability, and Learning.
With a vision to "Build and sell Microsoft AI, Cloud applications, services, and devices with partners, empowering people and organizations to achieve more," **SME&C Global Channel Partner Sales (GCPS)** is responsible for driving revenue outcomes with partners through innovative solutions-at scale.
In the **Global Channel Partner Sales** team, we are looking for people with a passion for delivering customer success working with Microsoft's partners. As a **Partner Solution Architect** , you will guide the development of business solutions, provide deep technical insights and accelerate the growth of Microsoft Tech priorities. you will work closely with partners to understand their technical requirements and business objectives, and guide them through architectural design sessions, developing proof of concepts, and help them transition from legacy systems to modern cloud environments, ensuring that their solutions are optimized for performance and cost-efficiency.
Join our team as a Partner Solution Architect and play a pivotal role in guiding our most significant partners to designing and implementing innovative scalable, secure, and efficient cloud architectures that meet market needs. By leveraging your skills in technical leadership, cloud computing, software development, problem solving and systems architecture, you will drive business impact by enabling digital transformation, optimizing performance, and driving innovation through the effective use of cloud technologies.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
As a Partner Solution Architect (PSA), you will serve as the deep technical SME to partners' technical force & own the partner's technical strategy plan for their Cloud Solution Area (CSA). Withing your responsibilities are:
+ **Guide Solution Development & Activation** - You'll lead the development and activation of new or enhanced partner offerings that align with Microsoft Cloud priorities. Your focus will be on ensuring these solutions are robust, scalable, secure, and tailored to meet evolving customer needs.
+ **Empower Innovation** - You'll run technical innovation workshops, tech briefings, and envisioning sessions to build technical intensity across partner teams. By collaborating with engineering and product teams, you'll help accelerate the adoption of emerging technologies and shape partner offerings that align with both business goals and technical requirements.
+ **Strategic Sales Enablement** - You'll play a key role in activating transformational deals by providing architectural guidance, resolving technical blockers, and enhancing solution design. Your work will directly contribute to workload consumption and revenue impact.
+ **Champion Technical Excellence** - You'll guide partners through architecture design sessions, proof-of-concepts, and MVP builds. You'll ensure that solutions follow Microsoft's Cloud and AI best practices and are optimized for performance, scalability, and security.
+ **Thought Leadership & Stakeholder Management** - You'll build long-term engagements with strategic partners, influencing their adoption of Microsoft technologies. You'll develop deep technical relationships with CXOs and foster executive alignment to support joint success.
+ **Partner Enablement & Business Acumen** - You'll coach broader partner technical teams to ensure pre-sales, deployment, and consumption are embedded in solution development. You'll help partners build resilience to technical challenges, navigate competitive landscapes, and translate technical concepts into business value.
**Qualifications**
**Required Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR master's degree in computer science, Information Technology, Engineering, Business or related field AND 3+ years technical consulting, technical consultative selling, product development, or related
+ OR equivalent experience.
+ Proven experience in cloud architecture, solution design, and partner enablement, particularly in large-scale or global engagements
+ Demonstrated ability to lead technical innovation workshops, architecture reviews, and build-to-consume engagements with partners
+ 6-10+ years of related experience in technology IP solutions or services development, with a deep understanding of digital transformation business drivers, cloud platforms, and emerging cloud trends like generative AI and SaaS (Software as a Service) services.
+ Strong background and in-depth knowledge of cloud technologies, with a focus on Dynamics 365.
+ Knowledge and experience on D365 Customer Service and/or Finance & Operations and Power Platform.
+ Knowledge and expereince on Copilot Studio and Agents.
**Preferred Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure/SaaS technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure/SaaS technologies, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience
+ 4+ years experience working in a customer-facing role (e.g., internal and/or external)
+ 4+ years experience working on technical projects
+ Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
With a vision to "Build and sell Microsoft AI, Cloud applications, services, and devices with partners, empowering people and organizations to achieve more," **SME&C Global Channel Partner Sales (GCPS)** is responsible for driving revenue outcomes with partners through innovative solutions-at scale.
In the **Global Channel Partner Sales** team, we are looking for people with a passion for delivering customer success working with Microsoft's partners. As a **Partner Solution Architect** , you will guide the development of business solutions, provide deep technical insights and accelerate the growth of Microsoft Tech priorities. you will work closely with partners to understand their technical requirements and business objectives, and guide them through architectural design sessions, developing proof of concepts, and help them transition from legacy systems to modern cloud environments, ensuring that their solutions are optimized for performance and cost-efficiency.
Join our team as a Partner Solution Architect and play a pivotal role in guiding our most significant partners to designing and implementing innovative scalable, secure, and efficient cloud architectures that meet market needs. By leveraging your skills in technical leadership, cloud computing, software development, problem solving and systems architecture, you will drive business impact by enabling digital transformation, optimizing performance, and driving innovation through the effective use of cloud technologies.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
As a Partner Solution Architect (PSA), you will serve as the deep technical SME to partners' technical force & own the partner's technical strategy plan for their Cloud Solution Area (CSA). Withing your responsibilities are:
+ **Guide Solution Development & Activation** - You'll lead the development and activation of new or enhanced partner offerings that align with Microsoft Cloud priorities. Your focus will be on ensuring these solutions are robust, scalable, secure, and tailored to meet evolving customer needs.
+ **Empower Innovation** - You'll run technical innovation workshops, tech briefings, and envisioning sessions to build technical intensity across partner teams. By collaborating with engineering and product teams, you'll help accelerate the adoption of emerging technologies and shape partner offerings that align with both business goals and technical requirements.
+ **Strategic Sales Enablement** - You'll play a key role in activating transformational deals by providing architectural guidance, resolving technical blockers, and enhancing solution design. Your work will directly contribute to workload consumption and revenue impact.
+ **Champion Technical Excellence** - You'll guide partners through architecture design sessions, proof-of-concepts, and MVP builds. You'll ensure that solutions follow Microsoft's Cloud and AI best practices and are optimized for performance, scalability, and security.
+ **Thought Leadership & Stakeholder Management** - You'll build long-term engagements with strategic partners, influencing their adoption of Microsoft technologies. You'll develop deep technical relationships with CXOs and foster executive alignment to support joint success.
+ **Partner Enablement & Business Acumen** - You'll coach broader partner technical teams to ensure pre-sales, deployment, and consumption are embedded in solution development. You'll help partners build resilience to technical challenges, navigate competitive landscapes, and translate technical concepts into business value.
**Qualifications**
**Required Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR master's degree in computer science, Information Technology, Engineering, Business or related field AND 3+ years technical consulting, technical consultative selling, product development, or related
+ OR equivalent experience.
+ Proven experience in cloud architecture, solution design, and partner enablement, particularly in large-scale or global engagements
+ Demonstrated ability to lead technical innovation workshops, architecture reviews, and build-to-consume engagements with partners
+ 6-10+ years of related experience in technology IP solutions or services development, with a deep understanding of digital transformation business drivers, cloud platforms, and emerging cloud trends like generative AI and SaaS (Software as a Service) services.
+ Strong background and in-depth knowledge of cloud technologies, with a focus on Dynamics 365.
+ Knowledge and experience on D365 Customer Service and/or Finance & Operations and Power Platform.
+ Knowledge and expereince on Copilot Studio and Agents.
**Preferred Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure/SaaS technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure/SaaS technologies, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience
+ 4+ years experience working in a customer-facing role (e.g., internal and/or external)
+ 4+ years experience working on technical projects
+ Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
1
AI/ML Security Architect and Engineer
Melbourne, Victoria
IBM
Posted 17 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
2
AI/ML Security Architect and Engineer
Sydney, New South Wales
IBM
Posted 17 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
3
AI/ML Security Architect and Engineer
Canberra, Australian Capital Territory
IBM
Posted 17 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats and be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to build intelligent systems that enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioural analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyse large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Collaborate with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
**Required technical and professional expertise**
* Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and common attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and working with large-scale datasets.
* Be an Australian Citizen
**Preferred technical and professional experience**
* Experience with Ansible, Red Hat OpenShift, Kubernates and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DB's or open file formats like parquet, avro or orc
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
4
Cloud Solution Architect Manager - Cloud and AI platforms
Melbourne, Victoria
Microsoft Corporation
Posted 23 days ago
Job Viewed
Job Description
We are seeking a skilled leader to manage a team of Cloud Solution Architects (CSA) focused on expanding our Cloud and AI services for Enterprise clients in both commercial and public sectors. You will guide your team to deliver technical solutions, drive platform adoption, and maintain operational excellence across three core areas: Customer Centricity, Technical Leadership, and Business Impact. Leveraging strategies like the Tech Maturity Model, you'll ensure scalable and effective service delivery. Your leadership will help customers maximize their MS investment with secure, resilient architectures, while fostering a high-performing, diverse, and inclusive team environment.
**Responsibilities**
**Business Impact**
Guide the team in adhering to operational standards and practices throughout sales and delivery processes. Coordinate activities across Microsoft and customer groups to meet defined objectives and ensure customer satisfaction. Monitor the team's approach to anticipating and managing business and technical risks, applying methodological and governance principles to identify, communicate, and reduce such risks. Ensure work is executed in line with industry and Microsoft procedures. Direct the team in prioritizing tasks according to business needs and aligning with organizational goals.
**Customer Centricity**
Support the team in maintaining efficient delivery and a consistent customer experience. Encourage the use of customer and partner feedback to understand and realize success conditions. Oversee team actions towards addressing customer risks and challenges, handling confidence calls, and implementing strategies to enhance customer experience, value realization, and the adoption of AI and cloud solutions. Facilitate the exchange of customer insights and feedback with engineering teams to inform product development and identify successful approaches.
**Technical Leadership**
Guide the team in identifying gaps during delivery, communicating them to stakeholders, and connecting findings across business and technology areas to support scalable improvements. Provide direction in offering subject matter expertise and contributing to internal communities globally. Advise the team on applying industry knowledge and representing Microsoft solutions through presentations and community engagement.
**Qualifications**
**Required/minimum qualifications**
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers.
**Additional or preferred qualifications**
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 12+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
6+ years experience working in a customer-facing role (e.g., internal and/or external).
6+ years experience leading technical projects, teams, or functions.
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
5+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
**Responsibilities**
**Business Impact**
Guide the team in adhering to operational standards and practices throughout sales and delivery processes. Coordinate activities across Microsoft and customer groups to meet defined objectives and ensure customer satisfaction. Monitor the team's approach to anticipating and managing business and technical risks, applying methodological and governance principles to identify, communicate, and reduce such risks. Ensure work is executed in line with industry and Microsoft procedures. Direct the team in prioritizing tasks according to business needs and aligning with organizational goals.
**Customer Centricity**
Support the team in maintaining efficient delivery and a consistent customer experience. Encourage the use of customer and partner feedback to understand and realize success conditions. Oversee team actions towards addressing customer risks and challenges, handling confidence calls, and implementing strategies to enhance customer experience, value realization, and the adoption of AI and cloud solutions. Facilitate the exchange of customer insights and feedback with engineering teams to inform product development and identify successful approaches.
**Technical Leadership**
Guide the team in identifying gaps during delivery, communicating them to stakeholders, and connecting findings across business and technology areas to support scalable improvements. Provide direction in offering subject matter expertise and contributing to internal communities globally. Advise the team on applying industry knowledge and representing Microsoft solutions through presentations and community engagement.
**Qualifications**
**Required/minimum qualifications**
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers.
**Additional or preferred qualifications**
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 12+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
6+ years experience working in a customer-facing role (e.g., internal and/or external).
6+ years experience leading technical projects, teams, or functions.
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
5+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
5
Machine learning and artificial intelligence and environmental
4742 Nebo, Queensland
PhDFinder
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: Universitat Politècnica de Catalunya
Country: Spain
Deadline: Not specified
Fields: Computer Science, Data Science, Electrical Engineering, Environmental Science, Applied Mathematics
The SANS research group (Statistical Analysis of Networks and Systems) at the Universitat Politècnica de Catalunya (UPC) invites applications for a competitive 3-year PhD fellowship within the Computer Architecture PhD track. This opportunity is aimed at highly motivated candidates interested in developing advanced Machine Learning and Artificial Intelligence algorithms for the analysis of Internet of Things (IoT) data, with real-world applications in air pollution monitoring, climate change, digital twins, and related areas.
Successful candidates will have the opportunity to work with large-scale, real-world datasets collected from state-of-the-art IoT monitoring systems and participate in experimental deployments designed to maximize the societal and environmental impact of their research.
Requirements
– Demonstrated motivation to apply mathematical and computational methods to address real-world challenges
– Interest in data-driven research with significant environmental and societal implications
– Strong background in a relevant field (e.g., computer science, engineering, mathematics, environmental science)
– Excellent analytical and problem-solving skills
The position is based in Barcelona, Spain, and offers a pre-doctoral contract for three years.
For additional information, please visit: />
Also See
- Ireland – Fully Funded PhD in Environmental Economics at University of Galway
- MSc and PhD Opportunities in AI, Image Processing, and IoT at University of Manitoba
- Fully Funded PhD and MS Positions in Structural Health Monitoring at UTRGV
- Switzerland – PhD in Environmental Engineering at Eawag/ETH Zurich
- Fully Funded PhD Position in Edge AI and Sustainable Computing at University of Vienna
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free:
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Ai architect Jobs in Australia !
6
Machine Learning Scientist, Amazon International Machine Learning
Melbourne, Victoria
Amazon
Posted 23 days ago
Job Viewed
Job Description
Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazon's International Machine Learning team, we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale, high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy cutting-edge solutions that directly benefit millions of Amazon customers worldwide. Whether you are developing next-generation recommender systems, exploring the frontiers of generative AI, or tackling novel scientific challenges, your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Key job responsibilities
- You will take on complex problems, work on solutions that either leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
- In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer facing applications, in partnership with product and development teams.
- You will publish papers internally and/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.
About the team
Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.
Basic Qualifications
- PhD in computer science, electrical engineering, or related field
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
7
Machine learning center
4742 Nebo, Queensland
PhDFinder
Posted 8 days ago
Job Viewed
Job Description
This position is no longer available.
University: CISPA Helmholtz Center
Country: Germany
Deadline: September 10, 2025
The Rational Intelligence Lab at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany, invites applications for a postdoctoral position in Rational Machine Learning. This opportunity is open to researchers with a strong background in machine learning, statistics, economics, or related disciplines.
Requirements
– PhD in Computer Science, Statistics, Economics, Artificial Intelligence, Data Science, or a closely related field
– Interest and experience in areas such as causality, game theory, uncertainty quantification, large language models, generative AI, or recommender systems
– Demonstrated research excellence through publications or relevant projects
– Eligibility to apply for the Marie Skłodowska-Curie Postdoctoral Fellowship
Successful Candidates Will
– Work in a vibrant, international AI research environment
– Collaborate with leading institutions, including MPI, DFKI, and ELLIS
– Engage in interdisciplinary research and contribute to the advancement of rational machine learning
Application Procedure
– For detailed eligibility and application guidelines, please refer to the Marie Skłodowska-Curie Postdoctoral Fellowship: />
– For more information about the research group, visit: />
– Interested candidates may contact for further inquiries.
Application Deadline: September 10, 2025
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free:
This advertiser has chosen not to accept applicants from your region.
8
Machine learning researcher - group
Sydney, New South Wales
Susquehanna International Group
Posted 14 days ago
Job Viewed
Job Description
Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
What You'll Do
- Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
- Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
- Design and run experiments using the latest ML tools and frameworks
- Develop automation tools to streamline research and system development
- Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
- Partner with engineering teams to implement and test models in production environments
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
- PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
- Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
- A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
- Strong programming skills in Python and/or C++
- Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
- Hands-on experience applying deep learning on time series data
- Strong foundation in mathematics, statistics, and algorithm design
- Excellent problem-solving skills with a creative, research-driven mindset
- Demonstrated ability to work collaboratively in team-oriented environments
- A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
- Collaborate with a world-class team of researchers, engineers, and traders
- Gain access to best-in-class financial data and high-performance computing resources
- Directly impact real-time trading performance through your work
- Thrive in a collaborative, intellectually rigorous environment with a global footprint
This advertiser has chosen not to accept applicants from your region.
9