Principal Applied AI Engineering Manager
Core
Lead an AI engineering pod to build, deploy, and maintain production agentic AI services, focusing on LLM orchestration, multi-agent workflows, and RAG pipelines.
Role type
Principal Applied AI Engineering Manager
Builds
Production AI agents and agentic AI services
Domain
Enterprise AI / Agentic Systems / Cloud (Azure)
Deliverable
production ML models
Required skills
Python, C#, LLM orchestration, RAG architectures, multi-agent workflows, evaluation frameworks, CI/CD, cloud-native development, people management, low-code/no-code platforms, AI governance
Preferred skills
Experience with prompt engineering, agent frameworks, shadow mode deployment, OKR setting
Technologies
Python, C#, Azure, Dataverse, Power Applications, microservices, containers
Responsibilities
Hire and coach a team of Applied AI Engineers; Drive end-to-end lifecycle of production AI agents from spec to deployment; Define architecture patterns and engineering standards; Ensure production health and reliability of deployed agents; Build and maintain evaluation systems for agent correctness and safety; Partner with product and platform teams to shape roadmap; Drive measurable business impact via KPIs; Embed responsible AI practices and compliance into agent systems; Mentor engineers on applied AI engineering craft.
Seniority
Principal, hands-on IC with team leadership
