Executive Director, AI Infrastructure & Platform Engineering

Job Title: Executive Director, AI Infrastructure & Platform Engineering Job Location: Work at Home, New York, United States Job Location Type: Remote Job Contract Type: Full time Job Seniority Level: 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 Description The Executive Director, AI Infrastructure & Platform Engineering is a senior engineering leadership role responsible for standing up, operating, and continuously improving CVS Health's on-premises AI compute platform. This position owns the physical and platform layers of CVS’s Enterprise AI Factory — a frontier-class GPU compute environment running NVIDIA Blackwell systems across a high-throughput RoCE v2 fabric, hosted in co-located data center facilities, with multi-site expansion underway. Reporting to the Global Head of Infrastructure/AI Operations and Service Delivery, this leader will establish operational baselines across the full infrastructure stack — hardware, network fabric, GPU clusters, storage, and the operating systems and orchestration layers above — and build the Site Reliability Engineering practice that delivers the availability, reliability, and performance that frontier AI workloads demand. This is a greenfield organizational build. The Executive Director will define the operating model, set the engineering standards, hire and develop the team, and establish the long-term operations capability that will govern CVS's AI infrastructure for years ahead. Key Responsibilities Strategy and Leadership: - Define and execute the long-range vision and strategy for AI infrastructure and platform engineering, with availability (>99.99%), reliability, and platform performance as the primary measures of success. - Recruit, hire, develop, and retain a high-performing engineering organization spanning infrastructure, network, platform reliability, observability, security, 24/7 operations, change and release management, and FinOps. - Establish clear ownership, accountability, and performance expectations across all functional teams; foster a culture of operational excellence, engineering rigor, and continuous improvement. - Provide executive-level communication to senior leadership on platform status, milestones, risk posture, and strategic initiatives. Infrastructure and Platform Engineering: - Own the physical layer of the AI compute environment — GPU compute, storage, network fabric, capacity planning, and hardware lifecycle accountability. - Direct bare-metal Kubernetes and OpenShift operations, including cluster administration, GPU quota governance, infrastructure-as-code adoption, and availability baseline enforcement. - Govern high-performance network fabric operations — RoCE v2, spine-leaf topology, lossless Ethernet tuning, congestion management, and segmentation. - Establish and enforce operational baselines across every layer of the stack — hardware, fabric, platform, and workload — with deviations detected, escalated, and resolved within defined SLAs. - Direct Innovation POD strategy to develop self-healing and autonomous capabilities that proactively prevent service degradation before it impacts availability. Operations and Reliability: - Build and sustain a high-performing 24/7 operations model — designed for sustainable, predictable coverage with no mandatory overtime and measurable team health and retention. - Drive end-to-end observability across the physical and platform layers, with continuous feedback loops connecting monitoring data to incident response, change decisions, and improvement cycles. - Oversee change management s