Agentic AI Engineer

Agentic AI / ML Engineer

The Agentic AI / ML Engineer builds, deploys, and operates production AI and machine learning systems for clinical and operational use across the pediatric health system. The role spans both predictive machine learning (ML) models and generative and agentic AI — LLM-based applications, RAG, copilots, and workflow agents — and owns the evaluation, guardrail, and monitoring frameworks that make these systems safe and reliable to run in a regulated environment.

Working closely with data scientists, clinical informaticists, and EHR/application teams, this role moves solutions from prototype into production and serves as a technical lead for agentic AI/ML delivery — setting the standards other engineers and data scientists build against, and leading incident response for production systems. The role also helps define enterprise AI system patterns for integrating foundation models into production applications, including tool/function calling, retrieval over enterprise knowledge, permission-aware responses, system handoffs, conversation/session management, and reusable configuration patterns for AI-enabled workflows.