AI/LLM Technical Lead

Fold Health India; Pune District; Presencial; INR 1.500.000 - 3.000.000; Tempo integral

Resumo da vaga

Fold Health India is seeking a senior AI Architect to lead the design and implementation of LLM-based and agentic AI systems for clinical and operational use cases in India. You will drive multi-agent orchestration frameworks and guide engineers through prompt design, evaluation, and deployment.

Collaborating with product, data, and clinical teams, you will shape the AI architecture, manage end-to-end lifecycle on cloud platforms, and ensure HIPAA-style governance and responsible AI practices

Qualificações

• Deep expertise in LLMs, RAG, and Agentic AI architectures.
• 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 sprint planning and delivery discipline.
• Excellent communication for customer-facing discussions, technical presentations, and cross-team coordination.
• Deep understanding of prompt engineering, LLM evaluation, and hallucination mitigation.

Responsabilidades

• 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 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.

Conhecimentos

Deep expertise in LLMs,RAG,Agentic AI

Python

Agile/Scrum leadership

Healthcare data (FHIR/HL7)

Prompt engineering

Customer-facing communication

Ferramentas

LangGraph

CrewAI

Semantic Kernel

Descrição da vaga

• Leadarchitecture, design, and implementation of LLM-based and agentic AIsystems for clinical and operational use cases.
  
• Overseethe development of multi-agent orchestration frameworks (reasoning,planning, and task execution) using tools such as LangGraph, CrewAI, orSemantic Kernel.
  
• Buildscalable RAG pipelines and retrieval systems using vectordatabases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).
  
• Guideengineers on prompt design, model evaluation, multi-step orchestration,and hallucination control.
  
• Collaboratewith product managers, data engineers, and designers to align AIarchitecture with business goals.
  
• Manage end-to-endAI lifecycle — data ingestion, fine-tuning, evaluation, deployment,and monitoring on Vertex AI / AWS Bedrock / Azure OpenAI.
  
• Lead scrumceremonies, sprint planning, and backlog prioritization for the AIteam.
  
• Workdirectly with external stakeholders and customer teams tounderstand requirements, gather feedback, and translate insights intoscalable AI solutions.
  
• Ensurecompliance with HIPAA, PHI safety, and responsible AI governancepractices.
  
• Contributeto hiring, mentoring, and upskilling the AI engineering team.
  

Requirements

Must-Have Skills

• Deepexpertise in LLMs, RAG, and Agentic AIarchitectures, including multi-agent planning and task orchestration.
  
• Hands-onexperience with LangChain, LangGraph, CrewAI, or Semantic Kernel.
  
• Strongproficiency in Python, cloud-native systems, and microservice-baseddeployments.
  
• Proventrack record of leading AI projects from concept to production,including performance optimization and monitoring.
  
• Experienceworking with healthcare data models (FHIR, HL7, clinical notes) orsimilar regulated domains.
  
• Experienceleading agile/scrum teams, with strong sprint planning and deliverydiscipline.
  
• Excellentcommunication and collaboration skills for customer-facing discussions,technical presentations, and cross-team coordination.
  
• Deepunderstanding of prompt engineering, LLM evaluation, and hallucinationmitigation.
  

General Skills

• Strongleadership, mentorship, and people management abilities.
  
• Excellentwritten and verbal communication for both technical and non-technicalaudiences.
  
• Abilityto balance technical depth with product priorities and delivery timelines.
  
• Adaptabilityto fast-changing AI technologies and ability to evaluate new toolspragmatically.
  
• A biastoward ownership and proactive problem-solving in ambiguous situations.
  
• Empathyfor end-users and a commitment to responsible AI in healthcare.
  

Good to Have

• Experienceleading AI platform initiatives or building internal AI tooling.
  
• Exposureto MLOps, continuous evaluation pipelines, and observability toolsfor LLM systems.
  
• Knowledgeof multi-modal AI (text + structured + image data).
  
• Priorexperience integrating AI into production SaaS platforms or healthcaresystems.
  

Why Join Fold Health

• Lead thedevelopment of next-generation AI systems transforming healthcaredelivery.
  
• Collaboratewith world-class data, product, and clinical teams on meaningfulchallenges.
  
• Shape the AI roadmap and mentor a growing team of engineers in aninnovation-first culture.
  
• Work on cutting-edgeAgentic AI and LLM applications deployed in real-world healthcaresettings.