Senior Applied AI Engineer

** Overview*
* ACES CØDE is a Microsoft engineering organization focused on reducing operational demand across the Microsoft Cloud - 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 intelligent services that are transforming Azure customer support and product quality, moving from reactive, human-only workflows toward AI-first systems that resolve customer issues and product repairs at Azure scale.

We are seeking a Senior Applied AI Engineer to design, build, and operate production agentic AI services that power AI-first support at Azure scale. The ideal candidate brings Azure product knowledge and customer-support experience to engineering decisions-recognizing recurring customer issues, investigating root causes, and determining whether diagnostic capabilities, clearer guidance, or AI agents will deliver the greatest customer benefit. Working across product, support, and engineering teams, you will help prioritize what to build next, translate customer and business problems into scalable technical solutions, and deliver direct, measurable impact for Azure customers.

You will write production-quality code, own significant service components, lead technical execution within projects, and help other engineers adopt sound software and applied AI engineering practices.

Every day, our customers stake their businesses and reputations on our cloud. You can help Azure Eng Ops provide 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*
* '-    Analyze data signals and uncover patterns: analyze support-case trends, customer issue patterns, and authorized technical signals at scale to uncover recurring failure patterns and gaps in Azure diagnostics and documentation.

-    Design and build production AI services:
Develop scalable agentic AI solutions for Azure diagnostics and documentation using LLM orchestration, RAG pipelines, agent workflows, tool integrations, memory and state management, and human-in-the-loop experiences,

-    Lead through hands-on engineering:
Write, review, test, and maintain production-quality C# and Python code. Build reusable components, reference implementations, and engineering patterns that accelerate team delivery.

-    Own end-to-end technical delivery:
Translate customer support scenarios and product requirements into technical designs, then take solutions through implementation, testing, deployment,…