Lead AI/ML – Build Agentic LLM Systems Powering the Future of Healthcare

Company overview:Join a fast-growing health-tech company that’s reimagining primary care for the modern world. As theLead AI/ML Architect , you’ll design and build next-genAgentic AI systemsthat enable clinical teams to deliver smarter, value-based healthcare. You’ll lead the architecture for multi-agent orchestration, RAG pipelines, and LLM-driven reasoning frameworks—shaping how millions experience care.The company recently raised$6 millionin funding to scale itsAI-first care platform , unifying providers, patients, and workflows across the U.S. healthcare system. You’ll collaborate with top engineers and data scientists to turnAI innovation into real-world healthcare impact —from automating clinical tasks to enhancing care quality and outcomes.Years of experience: 8-17 Years.Responsibilities: Lead architecture, design, and implementation ofLLM-based and agentic AI systemsfor clinical and operational use cases. Oversee the development ofmulti-agent orchestration frameworks(reasoning, planning, and task execution) using tools such asLangGraph, CrewAI, or Semantic Kernel . Build scalableRAG pipelines and retrieval systemsusingvector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine). Guide engineers onprompt design, model evaluation, multi-step orchestration , andhallucination control . Collaborate with product managers, data engineers, and designers to alignAI architecture with business goals . Manageend-to-end AI lifecycle— data ingestion, fine-tuning, evaluation, deployment, and monitoring onVertex AI / AWS Bedrock / Azure OpenAI . Leadscrum ceremonies , sprint planning, and backlog prioritization for the AI team. Work directly withexternal stakeholders and customer teamsto understand requirements, gather feedback, and translate insights into scalable AI solutions. Ensure compliance withHIPAA, PHI safety , and responsible AI governance practices. Contribute to hiring, mentoring, and upskilling the AI engineering team.Must-Have Skills:Deep expertiseinLLMs, RAG, and Agentic AI architectures , including multi- agent planning and task orchestration. Hands-on experience withLangChain, LangGraph, CrewAI, or Semantic Kernel . Strong proficiency inPython , cloud-native systems, and microservice-based deployments. Proven track record of leadingAI projects from concept to production , including performance optimization and monitoring. Experience working withhealthcare data models(FHIR, HL7, clinical notes) or similar regulated domains. Experience leadingagile/scrum teams , with strong sprint planning and delivery discipline. Excellent communication and collaboration skills forcustomer-facing discussions , technical presentations, and cross-team coordination. Deep understanding ofprompt engineering ,LLM evaluation , andhallucination 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 toresponsible AI in healthcare .Good to Have: Experience leadingAI platform initiativesor building internal AI tooling. Exposure toMLOps , continuous evaluation pipelines, and observability tools for LLM systems. Knowledge ofmulti-modal AI(text + structured + image data). Prior experience integrating AI intoproduction SaaS platforms or healthcare systems