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# Senior Gen AI Data Scientist

- **Company:** Fractal Analytics
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Data Transformation, DevOps, Python (Programming Language), Systems Integration, Web Applications, Data Logging, Chatbots, Fast Healthcare Interoperability Resources, Large Language Models, Prompt Engineering, Optimization Algorithms, Health Level Seven International, Virtual Agents, Software Coding, Restful APIs, GPT, Automation Anywhere
- **Published:** July 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b00b9e8c2b506e60

## About the Role

* 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-Have

 * 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

## Description

* 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.


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