23 Senior AI Engineer jobs in Australia
Cloud & AI Solution Engineer - AI Applications

Posted 1 day ago
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Job Description
Microsoft is transforming the developer experience for AI applications across the development lifecycle. With AI Foundry and seamless integration with Azure AI, we're leading the way in Agentic AI development where AI agents streamline development and operations. As an AI Apps Solution Engineer, you'll help customers boost productivity and become AI-native.
As an AI Applications Solution Engineer (SE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft's AI-powered stack across every stage of the development lifecycle. You'll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows. In summary, you'll help customers modernize their applications and realize the full value of Microsoft's AI platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications and agents into their development workflows. In summary, you'll help customers modernize their applications leveraging AI and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons, code-with sessions, and architecture workshops-to accelerate adoption of Microsoft's developer tools and cloud platforms.
+ Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET).
+ Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
+ Represent Microsoft through thought leadership in developer communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
+ Expert for AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.)
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
#MCAPS_FY26H1-SE-Apps
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 ( .
Cloud & AI Solution Engineer

Posted 1 day ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
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**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
**Required Qualifications (RQs)**
+ 5+ years technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
+ OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
**Preferred Qualifications (PQs)**
+ 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
+ OR equivalent experience
+ 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
+ Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) and Azure Synapse Gen2.
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 ( .
Cloud & AI Solution Engineer - Data Platform

Posted 1 day ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
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, 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**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
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 ( .
Cloud & AI Solution Engineer - Data Platform
Posted 1 day ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
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, 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**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
#MCAPS_FY26H1-SE-Data
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 ( .
Cloud & AI Solution Engineer - Data Platform

Posted 1 day ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
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, 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**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
#MCAPS_FY26H1-SE-Data
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 ( .
Senior Product Manager - Data Science Assets

Posted 1 day ago
Job Viewed
Job Description
**About Pearson**
As the world's largest (listed on both London and NY stock exchange) learning company, Pearson has been contributing a profound impact on our world since its formation in 1844. Pearson employs more than 20,000, operates in 70 countries and delivers products and services in nearly 200 countries. We work toward a common purpose - helping people realize the life they imagine through learning. We do that by developing and providing high-quality, digital content and learning experiences, as well as assessments and qualifications, that help people build their skills and grow with the world around them. Unveil the boundless possibilities that await you. Learn more at pearsonplc.com.
**About Enterprise Learning & Skills**
Pearson's newly established Enterprise, Learning & Skills division is mandated to help enterprises drive productivity and growth by transforming how they evaluate, assess, and reskill their workforce, as well as delivering world-class vocational training and qualifications. The global talent market has never been more important than it is today, and Workforce Solutions, a key hub within the new ELS division, is well positioned to meet the needs of employers and employees who want to build a leading edge in the age of AI and a rapidly changing economy. Our offerings help employers understand labor market dynamics, how future proof their workforces at scale, and helping workers gain the skills they need to boost their employability and create new career prospects.
**About the Role**
The Senior Product Manager for our Data Science Assets will lead the delivery of our core data science and exploratory tools, ensuring that our unique IP and insights are approachable and actionable for our clients, enabling them to drive meaningful change and unlock new opportunities for their businesses.
To do this, you'll work across our Data Science & AI, Product and Engineering squads to ensure our teams are prioritizing and delivering innovative solutions to real-world customer problems. You'll be responsible for the delivery of our Data Science roadmap into production, identifying and mitigating risks, post-launch monitoring, and ensuring that our teams are releasing quality data.
While most of the team is based in Sydney, this role can be a remote AU position with the availability to flex across multiple time zones, as stakeholders' locations range from Australia, US, and the UK. As an organization with a global customer and employee footprint, some domestic and international travel may be required.
**Key Responsibilities:**
+ Develop and execute product strategies that align with the Workforce Solution business unit's vision and the broader ELS business objectives
+ Define our Data science product roadmap and technical requirements and help our data science team prioritize features based on customer feedback, market demand, and business goals.
+ Collaborate closely with Data Scientists and Engineers to define requirements, prioritize features, data pipeline improvements, testing, and deploying assets into production
+ Communicate with stakeholders, including business leaders, sales marketing, clients and our broader product development teams to present our data assets and provide updates on product development
+ Garner an understanding of compliance, legal, internationalization, accessibility, and other ongoing needs to ensure design and data science make the right CX trade-offs when needed.
+ Strengthen our product team by contributing to a culture of collaboration, innovation, and high performance.
**About You**
**Key Experiences & Skills:**
+ **Product Experience** : 6+ years of experience as a product manager, with at least 3 years as either a Technical PM or responsibility for delivering Data Science products, defining product roadmaps, prioritizing features, and working with cross-functional teams.
+ **Data Science Literacy:** a good understanding of data science and analytics. You'll be expected to be involved in deep conversations about different statistical methods, machine learning algorithms, data visualization and data infrastructure.
+ **Business Acumen:** ability to understand business goals and translate them into data science deliverables that can drive significant commercial returns. You will be able to communicate effectively with stakeholders and have a good understanding of market trends.
+ **B2B Product Expertise:** Experience in B2B products (with previous experience in HR Tech a significant plus).
+ **International Experience** : experience within a global organization, with an understanding of cultural nuances.
+ **Analytical Nature** : Ability to use data to make key decisions on tradeoffs on product initiatives. Skilled in analyzing and reporting on metrics and KPIs.
+ **Delivers Results** : Able to deliver technical product requirements and project plan, and then execute it, tempering enthusiasm for innovation with tactical prioritization of must-have features that customers require to have a frictionless experience.
+ **Collaborating and Influencing:** Negotiate with a genuine give-and-take approach, involving all stakeholders to shape a collective consensus. Build relationships that help achieve team objectives and lead cross-functional teams.
This position is open to candidates based in Melbourne or Sydney, Australia. Applicants must have current work rights in Australia to be considered.
**Who we are:**
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing
**Job:** Product Management
**Job Family:** PRODUCT MANAGEMENT
**Organization:** Enterprise Learning & Skills
**Schedule:** FULL_TIME
**Workplace Type:** Hybrid
**Req ID:** 18329
#LI-REMOTE
Cloud & AI Solution Engineer - Software, Development Tools and AI

Posted 1 day ago
Job Viewed
Job Description
Microsoft is transforming the developer experience by embedding AI across the software development lifecycle. With GitHub and Visual Studio-trusted by over 100 million developers globally-at the core, and seamless integration with Azure AI, we're leading the way in "Agentic DevOps," where AI agents streamline development and operations. As a Software Solution Engineer, you'll help customers boost productivity and become AI-native.
The Software Solution Engineer (SE) is a technical sales role focused on helping enterprise developers understand the value of Microsoft's AI-powered developer stack across every stage of the software development lifecycle. You'll work directly with engineering leaders and platform teams to accelerate Foundry through hands-on engagements like Proof of Concepts, hackathons, code-with sessions and architecture workshops.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI integration into their development workflows. Whether enabling DevSecOps at a global bank or scaling GitHub Copilot across thousands of engineers, you'll help customers modernize their SDLC and realize the full value of Microsoft's developer platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons, code-with sessions, and architecture workshops-to accelerate adoption of Microsoft's developer tools and cloud platforms.
+ Build trusted relationships with co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in
+ Represent Microsoft through thought leadership in developer communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Experience engaging enterprise development teams, including developers, architects, and technical decision makers.
+ Proficiency in modern languages like JavaScript/TypeScript, Python, C#, or Java, and frameworks such as .NET, Node.js, or React.
+ Hands-on expertise with GitHub, Visual Studio Code, CI/CD, DevOps, and platform engineering (e.g., observability, security, performance).
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
#MCAPS_FY26H1-SE-Software
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 ( .
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AI/ML Security Architect and Engineer

Posted 1 day ago
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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.
AI/ML Security Architect and Engineer

Posted 1 day ago
Job Viewed
Job Description
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.
AI/ML Security Architect and Engineer

Posted 1 day ago
Job Viewed
Job Description
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.