Principal Applied AI Engineer

About the role

Are you a customer-obsessed software engineer and technical architect who is passionate about applying AI to complex, real-world problems? The Engineering Operations (EngOps) team's mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve cloud quality, security, and reliability.

What you'll do

• Architect and build production agentic AI systems: Design and implement scalable AI agents and services, including LLM orchestration, multi-agent workflows
• Lead through hands-on engineering: Write, review, and maintain production-quality C# and Python code
• Build critical components, reference implementations, prototypes, and reusable platform capabilities that accelerate delivery across the engineering organization
• Own end-to-end technical delivery: Translate ambiguous customer support scenarios into clear technical requirements and take solutions from architecture and…
• Define technical architecture and engineering standards: Establish architecture patterns, API and data contracts, code quality expectations, evaluation practices

What you need

• 12–22 yrs of experience
• Machine learning
• Python
• LLMs
• Prompt engineering
• Azure
• C#
• B.Sc or B.Tech or B.E. or BCA or M.Sc or M.Tech or MCA

Good to have

• CI/CD
• Microservices
• Terraform
• Data structures
• Incident response
• Root cause analysis