About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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

Benefits

  • 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.
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