At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Summary
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.
You'll collaborate with a multidisciplinary team of data scientists, engineers, and product managers to build intelligent systems that improve colleague productivity and reimagine the digital workplace.
If you're passionate about building real-world GenAI systems that make work better for thousands of users, this is your opportunity to make a lasting impact at one of the world's most trusted healthcare companies.
What You'll Do
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.
What You'll Bring
Soft Skills
A self-starter with strong ownership-comfortable working with ambiguity and defining your own roadmap.
Excellent communicator who collaborates effectively across teams.
Thrives in an agile environment and enjoys rapid iteration.
Data Science & GenAI
Experience with RAG system design and optimization (prompt engineering, chunking, retrieval tuning).
Strong understanding of NLP, regex, parsing, and data cleaning.
Hands-on experience fine-tuning and deploying LLMs using frameworks such as LangChain or LangGraph
Familiarity with evaluation metrics for GenAI performance
Software Engineering
Solid Python skills and experience developing API-based services.
Proficiency with cloud platforms (Azure preferred) and containerized deployment (Docker, Kubernetes).
Understanding of CI/CD pipelines and DevOps best practices (GitHub Actions, testing automation).
Required Qualifications
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.
Preferred Qualifications
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.
Education
Bachelor's degree in Data Science, Computer Science, Engineering, or related field required from an accredited university.
Master's degree preferred.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$79,310.00 - $158,620.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 11/12/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
