Manager- AI Engineer

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.

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

• 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.