Lead AI Engineer
Core
Define technical architecture and roadmap for LLM and agentic systems, ensuring enterprise security, privacy, and data-provenance requirements in a regulated healthcare environment.
Role type
Senior IC lead AI engineer (LLM/Agentic systems)
Builds
Production LLM applications, RAG pipelines, knowledge retrieval systems, and AI-powered embedded workflows
Domain
Healthcare IT + Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, Java, REST APIs, event-driven architecture, microservices, cloud-native design, prompt engineering, RAG, GraphRAG, agentic workflows, tool use, LLMOps, MLOps, vector/graph retrieval, embeddings
Preferred skills
Azure, AWS, GCP, healthcare data environments, AI governance frameworks, legacy system modernization, Confluence/Jira governance, vendor management
Technologies
AWS, Azure, GCP, Python, Java, MCP, Confluence, JIRA, REST, microservices
Responsibilities
Define technical architecture and roadmap for LLM and agentic systems, lead architecture reviews, guide shared AI platform capabilities, architect and build complex components for priority AI initiatives, set coding and evaluation standards, establish secure and observable AI operations, partner with Legal/Compliance/Privacy teams, evaluate foundation-model providers and AI tooling vendors, ensure AI systems meet regulatory requirements, represent AI architecture in cross-company forums
Seniority
Senior, hands-on IC with leadership responsibilities
