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

.

Valuable 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 (Haveli)
🏢 Fold Health
📍 Haveli