We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Role Summary

We are looking for a versatile Machine Learning Engineer who can move between backend platform engineering, full-stack AI application development, and Generative AI as team priorities change.

 

Key Responsibilities

• Build and maintain production backend services, APIs, and integrations for large-scale audience segmentation and activation.
• Develop and deploy Generative AI and agentic applications, including LLM orchestration, retrieval-augmented generation (RAG), and evaluation.
• Contribute across the full stack, from backend services to user interfaces, to deliver complete AI products.
• Collaborate with platform and network security teams on cloud infrastructure, secure networking, and access management. 
• Keep deployed systems healthy through CI/CD, testing, monitoring, and incident triage.
• Work with product, data science, engineering, and business stakeholders to turn business needs into technical solutions.

 

Required Qualifications

• 2+ years building, deploying and maintaining 0-1 production ML or data-intensive systems as an MLE or SDE (or PhD with a relevant tech internship).
• Strong Python and SQL skills, with experience building RESTful APIs (e.g., FastAPI) and integrating third-party services.
• Solid software engineering practices, including CI/CD, containerization, automated testing, and cloud deployment.
• Strong curiosity, self-driven, and a willingness to challenge the status quo.
• Excellent communication and collaboration skills working across cross-functional teams such as product, data science, engineering, marketing, and operations stakeholders.
  
  

Preferred Qualifications

• Experience with direct-to-consumer (D2C) platforms and individual personalization.
• Hands-on experience with agentic workflows, LLM frameworks (e.g., LangChain/LangGraph), RAG, vector search, and MCP servers.
• Experience with Google Cloud Platform (GCP), especially BigQuery and Vertex AI.
• Front-end development in React, CSS, and TypeScript, either of – preferably more than one.
• Background in AdTech, MarTech, recommendation systems, and experimentation workbench.

Education

Master’s degree in Computer Science, Statistics, Engineering, or a related field, or equivalent work experience. PhD preferred.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$86,520.00 - $173,040.00

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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 11/22/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.