[Hiring] AI Engineer Manager @CVS Health

Role Description

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
• Business stakeholders

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.

Requirements

• 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.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.