AI / LLM Technical Lead

Responsibilities

• 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.

Requirements

Must-Have Skills

General Skills

Good to Have

Benefits

Why Join Fold Health

Skills Required

Agile Scrum, MLops, Hl7, Python