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Join CVS Health's Digital Workplace AI team and help define the future of how 300,000+ colleagues find information, collaborate, and work smarter. As a Data Scientist on the Lumina Agentic team, you'll design and deploy next-generation Agentic AI and RAG systems that transform CVS's internal knowledge ecosystem. This role blends data science (70%) and software engineering (30%) to bring cutting-edge GenAI applications into production—at enterprise scale.
Job Responsibility:
Design, train, and deploy retrieval-augmented generation (RAG) systems for knowledge discovery and assistance
Develop Agentic AI applications that reason, take actions, and orchestrate complex workflows
Build and maintain knowledge ingestion pipelines and connect them to scalable APIs and services
Evaluate agentic systems for accuracy, bias, and quality
Write and deploy microservices to Azure Kubernetes Service (AKS) using GitHub Actions CI/CD pipelines
Collaborate with cross-functional partners to define goals, experiment rapidly, and ship solutions that matter
Build data connectors and parsers to optimize data and knowledge extraction from documents and systems
Requirements:
4+ years of programming experience in Python
1+ year of experience building RAG systems with LangChain or LangGraph or similar tools
2+ year of experience working with LLMs and vector databases (MongoDB Atlas, Pinecone, or similar)
2+ year experience with cloud computing (Azure preferred)
2+ year of experience using Git and version control
Bachelor's degree in Data Science, Computer Science, Engineering, or related field required
Nice to have:
2+ years of NLP experience (SpaCy, NLTK, BeautifulSoup)
Experience deploying LLM systems at scale (10K+ documents or large enterprise workloads)
Experience writing and deploying microservices in Kubernetes
Experience with DevOps automation and CI/CD tools
Strong debugging and code refactoring skills
Familiarity with AI agents, memory architecture, routing, and moderation pipelines
Experience designing analytics dashboards (Tableau, Power BI)
Located in Central or Eastern time zones
Portfolio of GenAI or LLM projects strongly preferred
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