AILLM 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.