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About the role
Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases. Oversee the development of multi-agent orchestration frameworks (reasoning, planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Kernel . Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine). Guide engineers on prompt design, model evaluation, multi-step orchestration , and hallucination control . Collaborate with product managers, data engineers, and designers to align AI architecture with business goals . Manage end-to-end AI lifecycle data ingestion, fine-tuning, evaluation, deployment, and monitoring on Vertex AI / AWS Bedrock / Azure OpenAI . Lead scrum ceremonies , sprint planning, and backlog prioritization for the AI team. Work directly with external stakeholders and customer teams to understand requirements, gather feedback, and translate insights into scalable AI solutions. Ensure compliance with HIPAA, PHI safety , and responsible AI governance practices. Contribute to hiring, mentoring, and upskilling the AI engineering team.
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