Senior Gen AI Data Scientist

Fractal Analytics•New York, IL

1d•$120,000 - $140,000

About The Position

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Requirements

Proven Experience working with LLMs and in agentic AI (e.g., LangChain agents, tool use, memory)
Strong understanding of prompt engineering, embeddings, and context management
Skilled in deploying advanced evaluation metrics for agentic performance (e.g., task success, coherence, safety). Experience with evaluation tools (TruLens, RAGAS, LangSmith) and optimization techniques (LoRA, QLoRA etc.).
Experience with external API Integration and data transformation and integrating AI workflows into web applications or chatbots
DevOps skills to deploy and monitor AI agents in production
Track record of leading generative AI initiatives from concept to deployment
Strong coding skills; Proficiency in Python or Java

Nice To Haves

Experience with Azure AI stack
Familiarity with PBM domain (claims, PA, formularies, etc.)
Experience integrating with healthcare APIs or HL7/FHIR systems
Familiarity with HIPAA and data security best practices

Responsibilities

Design and implement autonomous AI agents to handle tasks like: Benefit explanation, Prior authorization (PA) reasoning, Drug alternatives search, Claim denial explanation
Integrate OpenAI models (GPT-4 or GPT-4o) or other LLMs with enterprise systems via REST APIs.
Build workflows using orchestration tools (e.g., LangChain, Microsoft Semantic Kernel, or custom agents).
Create reusable prompt chains, tools, and routing logic based on user intent.
Collaborate with PBM SMEs to translate complex pharmacy logic into AI workflows.
Define error handling, logging, and fallback protocols for production safety.
Work with internal teams on compliance, PHI handling, and access control.