💼 Full-Time Position

MLOps Engineer

🏢
Stanford Health Care
📍 Newark, CA, United States
📍
Location
Newark, United States
📅
Posted
June 20, 2026
Type
Full-Time
🎯

Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.

Job Description

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.

Day - 08 Hour (United States of America)

We are seeking a high-caliber Senior AI Platform & ML Ops Engineer to architect the layered infrastructure required for autonomous, agentic systems within Stanford Healthcare. In this role, you will be the Master Chef of our AI ecosystem, seamlessly folding Expert-Level DevOps (Kubernetes, Terraform, DevOps orchestration) with Agentic Application Development (LangGraph, CrewAI, Tool-calling logic). You won't just manage servers; you will build the robust, full-stack factory where multi-agent frameworks interact with healthcare APIs, ensuring every autonomous action is governed by strict ML Ops observability (LangSmith, Arize) and safety guardrails. If you have the crispy coding skills to build RAG pipelines in Python and the rich architectural depth...