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 rapid-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.

📌 AI/LLM Technical Lead (India)
🏢 Fold Health
📍 India