Lead Decision Intelligence Engineer (AI) - NBA
Core
Lead a team to build production-grade decision intelligence and agentic AI systems that formalize business decisions, optimize member engagement, and govern actions within a healthcare/insurance platform.
Role type
Senior IC machine-learning engineer (decision intelligence & agentic AI) with technical leadership
Builds
Production agent workflows, decision models, optimization strategies, and microservices for action governance
Domain
Healthcare/Insurance technology, Decision Science, Agentic AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python engineering, Agentic AI frameworks (LangGraph, LangChain), Enterprise AI platforms (Azure OpenAI, Vertex AI), Decision Intelligence modeling, LLM application patterns (RAG, tool calling), AI evaluation frameworks, Microservices architecture, Database design, Rules engine integration
Preferred skills
Reinforcement learning, Databricks, Vector databases, Observability platforms, CRM/Marketing tech integration, Healthcare industry experience
Technologies
LangGraph, LangChain, Azure OpenAI, Azure AI Foundry, Databricks, Drools, IBM ODM, OPA/Rego, Vector search
Responsibilities
Model business decision processes and decompose them into decision graphs; Design and implement agentic workflows with multi-agent collaboration and human-in-the-loop; Integrate enterprise AI models and build evaluation frameworks; Architect and operate scalable microservices for policy evaluation; Lead and mentor a small engineering team; Implement AI governance, safety guardrails, and auditability mechanisms.
Seniority
Senior, hands-on IC with team leadership