Every day, our customers stake their business and reputation on our cloud. You can help our team provide our customers with the world-class cloud services they need to succeed.
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
Translate product specifications into AI service architectures — decompose business intent into agent workflows, data source integrations, and scalable service designs.
Build agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework, including multi-agent coordination, tool integrations, and agent lifecycle management.
Develop and iterate on LLM-based solutions including prompt engineering, model selection, cost/token optimization, and RAG pipeline design.
Build evaluation systems including rubrics, golden datasets, and judge agents to validate agent correctness and safety before production deployment.
Write production-quality C# and Python with test-driven development, ensuring services meet reliability, performance, and security standards.
Deploy services using CI/CD pipelines, feature flags, and staged rollouts with full production observability (tracing, logging, metrics).
Implement secure service patterns including RBAC, Managed Identities, and secrets management.
Integrate agents with Azure data sources and cloud-native services to ground agent responses in real-time signals.
Apply Responsible AI practices across all agent development, ensuring outputs are safe, fair, and compliant.
Execute reliably within sprint and co-development commitments across ACES and partner engineering teams.
Own the end-to-end lifecycle of AI service components, including design, development, testing, deployment, monitoring, and incident response.
Qualifications
Basic Qualifications
Bachelor's degree in Computer Science, Engineering, or related field.
3+ years of software engineering experience in C# and/or Python, with production deployment experience.
Experience building or integrating with LLM-based systems (prompt engineering, RAG, or agent frameworks).
Familiarity with Azure services (Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, or similar cloud-native technologies).
Experience with CI/CD pipelines, automated testing, and production observability.
Understanding of data structures, algorithms, and system design fundamentals.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, AI, or related field.
Experience with multi-agent orchestration and agent-to-agent communication protocols.
Experience with evaluation frameworks for AI systems (rubrics, golden datasets, judge agents).
Familiarity with RAG pipelines and vector retrieval systems.
Experience with container orchestration, microservices architecture, and cloud-native deployment patterns.
Experience with security practices (RBAC, Managed Identities, secrets management).
Experience working in Agile/sprint-based delivery with cross-org dependencies.
Problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
What We Offer
Opportunity to build AI services that directly impact millions of Azure customers worldwide.
Work at the cutting edge of agentic AI, LLM orchestration, and multi-agent systems.
Collaborative and inclusive work culture centered on growth mindset.
Continuous learning and career development in applied AI engineering.
Access to cutting-edge Azure AI technologies and global impact projects.
#EngOps #EngOpsACES
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
