Description

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.

Position Summary

The Manager / Sr Manager, AI Engineer at CVS Health is a senior technical and people‑leadership role responsible for defining, building, and scaling enterprise AI and Machine Learning solutions aligned to CVS Health's strategic business objectives. The role bridges business strategy and advanced AI engineering, providing architectural direction, delivery oversight, and leadership across cross‑functional teams including AI engineers, data scientists, product managers, and business stakeholders.

Required Qualifications

Candidates for this role are expected to demonstrate the following core qualifications:

• 5-7+ years of experience in software engineering, AI/ML engineering, or data science, with proven delivery of production‑grade AI solutions.
• Strong hands‑on expertise in AI/ML concepts including:
  • Machine learning and deep learning
  • Natural Language Processing (NLP)
  • Generative AI and large language models (LLMs)
  • Model training, evaluation, deployment, and monitoring
• Proficiency in programming, with Python required; experience with Java, Scala, or R also expected.
• Experience designing and deploying scalable AI systems in cloud environments such as AWS, Azure, or Google Cloud Platform (GCP).
• MLOps and data pipeline experience, including model lifecycle management, CI/CD, monitoring, and reliability practices.
• Technical leadership experience, including mentoring engineers, guiding architecture decisions, and overseeing multiple concurrent AI initiatives.
• Strong communication skills, with the ability to translate complex AI concepts for both technical and non‑technical stakeholders.

Preferred Qualifications

CVS Health lists the following as preferred or differentiating qualifications:

• Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit‑learn, and related tooling.
• Knowledge of big‑data and distributed processing technologies (e.g., Spark, Hadoop) and modern data platforms.
• Experience implementing AI governance, data privacy, security, and ethical AI practices, particularly in regulated industries.
• Demonstrated ability to define AI strategy and roadmaps, balancing near‑term delivery with long‑term platform evolution.
• Background in healthcare, insurance, or other regulated domains (HIPAA/GDPR familiarity is beneficial).
• Prior experience leading cross‑functional teams and partnering with product, business, and executive leadership

Education

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field is required
• Advanced degrees (Master's or PhD) in a relevant technical field are preferred but not required.

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $185,400.00

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: 05/01/2026

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