AI / LLM Lead

Description :

• 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

Must-Have Skills :

General Skills :

Good to Have :

(ref : hirist.tech)