Applied AI Engineer

Job d:

Location:

United States, Washington, Redmond Salary: USD $102,100 - $202,200 per year

Employment type:

Full-Time Work site: 3 days / week in-office

Role type:
Individual Contributor Travel:
Less than 25%
Profession:
Software Engineering Discipline:
Software Engineering Company:
Microsoft

OverviewACES CØDE is a Microsoft engineering organization focused on reducing operational demand  across the Microsoft Cloud, including but not limited to the avoidable support cases, repeated troubleshooting, and manual interventions that arise when cloud products, platforms, or processes do not work as intended. Our mission is to engineer this demand out of the Microsoft Cloud by turning customer and operational signals into lasting product improvements, intelligent diagnostics, autonomous resolution systems, and AI-powered capabilities.

As cloud services grow in scale and complexity, we are moving beyond simply reacting to problems after they occur. We work to understand why operational demand exists, prevent it at the source where possible, resolve it autonomously when it does occur, and continuously learn from those signals to make our products and support experiences more reliable. We look for teammates who can navigate ambiguity, reason from data and customer signals, work across technical and organizational boundaries, and turn complex problems into durable, measurable outcomes.
Within this mission, the ACES CØDE engineering team is building domain-specific agents and services that are transforming Azure customer support from reactive, human-dependent workflows toward AI-first systems capable of resolving customer issues at Azure scale. We are seeking an Applied AI Engineer to help build the next generation of production agentic AI services that resolve customer issues faster, reduce avoidable support demand, and improve the reliability and scalability of AI-first support experiences.

You will take product specifications and turn them into production-ready, scalable AI services — working with LLM orchestration, multi-agent coordination, and RAG-based systems. You will ship production services that directly impact Azure customers.  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

Key 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…