Senior Manager- AI Engineer

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.

Job Title

Head of AI Engineering and Strategy

Job Summary

Aetna Medicare Product Tools and Technology is seeking a Head of AI Engineering and Strategy to define and lead the vision for enterprise AI capabilities within the engineering organization. This role is responsible for establishing the platforms, infrastructure, and operating model required to design, build, and scale AI driven applications across the enterprise.

This position combines senior engineering leadership with strategic oversight, driving the adoption of modern AI and ML capabilities, including large language models (LLMs), conversational voice AI, AI augmented business intelligence, and chatbot solutions, into mission critical systems and workflows.

You will operate as a key member of the technology leadership team, partnering with engineering, product, analytics, and business executives to shape AI strategy, influence enterprise investment decisions, and drive organization wide adoption of AI capabilities that enable intelligent automation and long-term business transformation.

Key Responsibilities

AI / ML Engineering

Define the technical vision and architecture for AI and ML solutions, including LLM based applications, conversational voice AI, chatbot platforms, and AI augmented BI systems

Oversee development of training data pipelines and datasets for fine tuning, evaluation, and inference at enterprise scale

Establish enterprise standards for model performance monitoring, drift detection, retraining, and lifecycle governance

Drive implementation of vector embeddings, semantic search, and AI orchestration frameworks

Application Development

Provide engineering leadership for backend services (APIs, microservices) enabling scalable AI capabilities across the enterprise

Oversee development of scalable data pipelines supporting ingestion, transformation, and real time inference workloads

Drive integration of AI capabilities into enterprise platforms, including customer facing voice and chat systems and internal analytics environments

Ensure solutions meet enterprise standards for scalability, reliability, performance, and security

MLOps and Platform Engineering

Define and govern model lifecycle management practices including versioning, deployment, rollback, and compliance

Lead the development of enterprise AI platforms and infrastructure for model hosting, orchestration, and scaling

Establish CI and CD standards and deployment frameworks for AI systems across engineering teams

Build and oversee observability layers to monitor system performance, model behavior, and operational health

Set direction for AI safety and responsible AI practices, including guardrails for bias mitigation, hallucination reduction, and policy adherence

Collaboration and Strategy

Set and drive enterprise AI strategy aligned to technology vision, platform evolution, and long-term organizational priorities

Lead alignment across a highly matrixed organization, influencing engineering, product, analytics, and business leadership

Serve as a trusted advisor to executive leadership, communicating AI strategy, technical trade-offs, risks, and business impact

Own AI investment strategy, including prioritization, funding alignment, and resource allocation across initiatives

Drive enterprise-wide AI adoption by establishing scalable enablement models across engineering and business teams

Define and execute capability uplift strategies, including upskilli