Microsoft

Principal AI Engineering Manager

United States, Georgia, Atlanta · 5d ago

Not specified8+ YOE

Quick summary

AI parsed

Experience: 8+ years technical engineering experience with 3+ years in people management leading technical engineering teams. Strong proficiency in Python and C#, experience with LLM-based systems, RAG architectures, agent frameworks, and cloud platforms (Azure).

Responsibilities

Build and lead the AI engineering pod — hire, coach, and develop a team of Applied AI Engineers; foster an inclusive, high-trust culture where engineers ship production AI services with ownership and velocity
Own engineering execution for agentic AI services — drive the end-to-end lifecycle of production AI agents from spec to deployment, including LLM orchestration, multi-agent workflows, RAG pipelines, and evaluation systems
Set technical direction and engineering standards — define architecture patterns, code quality bar, evaluation frameworks, deployment practices, and observability standards for the AI engineering pod
Own production health and reliability — ensure deployed AI agents meet quality, performance, and safety standards; drive incident response, root cause analysis, and continuous improvement

Full description

Build and lead the AI engineering pod — Hire, coach, and develop a team of Applied AI Engineers; foster an inclusive, high-trust culture where engineers ship production AI services with ownership and velocity. Own engineering execution for agentic AI services — Drive the end-to-end lifecycle of production AI agents from spec to deployment, including LLM orchestration, multi-agent workflows, RAG pipelines, and evaluation systems. Set technical direction and engineering standards — Define architecture patterns, code quality bar, evaluation frameworks, deployment practices, and observability stan…