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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...