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

• Deep
  expertise in LLMs, RAG, and Agentic AI
  architectures, including multi-agent planning and task orchestration.
  
• Hands-on
  experience with LangChain, LangGraph, CrewAI, or Semantic Kernel.
  
• Strong
  proficiency in Python, cloud-native systems, and microservice-based
  deployments.
  
• Proven
  track record of leading AI projects from concept to production,
  including performance optimization and monitoring.
  
• Experience
  working with healthcare data models (FHIR, HL7, clinical notes) or
  similar regulated domains.
  
• Experience
  leading agile/scrum teams, with strong sprint planning and delivery
  discipline.
  
• Excellent
  communication and collaboration skills for customer-facing discussions,
  technical presentations, and cross-team coordination.
  
• Deep
  understanding of prompt engineering, LLM evaluation, and hallucination
  mitigation.
  

General Skills

• Strong
  leadership, mentorship, and people management abilities.
  
• Excellent
  written and verbal communication for both technical and non-technical
  audiences.
  
• Ability
  to balance technical depth with product priorities and delivery timelines.
  
• Adaptability
  to fast-changing AI technologies and ability to evaluate new tools
  pragmatically.
  
• A bias
  toward ownership and proactive problem-solving in ambiguous situations.
  
• Empathy
  for end-users and a commitment to responsible AI in healthcare.
  

Good to Have

• Experience
  leading AI platform initiatives or building internal AI tooling.
  
• Exposure
  to MLOps, continuous evaluation pipelines, and observability tools
  for LLM systems.
  
• Knowledge
  of multi-modal AI (text + structured + image data).
  
• Prior
  experience integrating AI into production SaaS platforms or healthcare
  systems.
  

Benefits

Why Join Fold Health

• Lead the
  development of next-generation AI systems transforming healthcare
  delivery.
  
• Collaborate
  with world-class data, product, and clinical teams on meaningful
  challenges.
  
• Shape the AI roadmap and mentor a growing team of engineers in an
  innovation-first culture.
  
• Work on cutting-edge
  Agentic AI and LLM applications deployed in real-world healthcare
  settings.