Senior Data Scientist - GenAI
Core
Design, build, and evaluate retrieval and generation components for an enterprise RAG and agentic AI platform, while developing evaluation methods and building autonomous agents.
Role type
Senior IC GenAI Data Scientist (Applied ML + Software Engineering)
Builds
Enterprise knowledge and agentic AI platform (Lumina) for CVS Health
Domain
Healthcare + Generative AI / Retrieval-Augmented Generation
Deliverable
production ML models
Required skills
Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Embeddings, Hybrid Retrieval, Reranking, Prompt Engineering, Statistical Modeling, Python, Cloud Platforms (AWS/Azure/GCP), Microservices, API Development, CI/CD, Unit Testing, Integration Testing
Preferred skills
Enterprise AI governance, Observability, AI quality measurement, Enterprise search, Healthcare domain experience
Technologies
Python, Azure Entra, Jira, Confluence, GitHub, Figma, Airtable, Slack, Microsoft 365, Model Context Protocol (MCP), Azure, AWS, GCP
Responsibilities
Design and build retrieval/generation components (embeddings, hybrid retrieval, reranking, prompting, agent behavior); Develop evaluation methods for retrieval quality (Recall@k, MRR, nDCG) and response quality (faithfulness, citation accuracy); Analyze usage and performance data to inform product decisions; Create and orchestrate autonomous AI agents; Write production-level code to integrate models and build supporting APIs/connectors; Build and deploy ML microservices with automated testing and deployment pipelines
Seniority
Senior, hands-on IC
