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Microsoft

Principal Applied AI Engineer

United States, Georgia, Atlanta · 5d ago

Not specified6+ YOE

Quick summary

AI parsed
Experience
6+ years technical engineering with C, C++, C#, Java, JavaScript, or Python; deep hands-on software development with enterprise architecture expertise; proficiency in C# and/or Python; experience with applied AI systems (LLM-based applications, RAG, agents); cloud platforms (preferably Azure); agent security patterns; proven ability to influence technical direction and mentor senior engineers

Responsibilities

  • Architect and build production agentic AI systems, including LLM orchestration, multi-agent workflows, RAG pipelines, and human-in-the-loop experiences
  • Own end-to-end technical delivery from ambiguous requirements through architecture, implementation, deployment, and continuous improvement
  • Define technical architecture and engineering standards for AI services, establishing patterns, API contracts, code quality expectations, and observability standards
  • Own production quality and reliability, ensuring AI services meet standards for correctness, availability, latency, scalability, cost, and safety

Full description

Architect and build production agentic AI systems: Design and implement scalable AI agents and services, including LLM orchestration, multi-agent workflows, RAG pipelines, tool integrations, memory and state management, and human-in-the-loop experiences. 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 scenario…