Oak Street Health
Executive Director, AI Infrastructure & Platform Engineering
Work at Home, New York, United States · Director · Full-time
Sponsorship not specified$175k-$335kDetected 35 days ago
KubernetesSite Reliability EngineeringPlatform EngineeringCybersecurityIncident ResponseComplianceStakeholder ManagementNegotiationElectrical EngineeringCiscoHIPAAResearchLeadershipCommunication
About the role
- 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.
- Establish clear ownership, accountability, and performance expectations across all functional teams; foster a culture of operational excellence, engineering rigor, and continuous improvement.
- Direct bare-metal Kubernetes and OpenShift operations, including cluster administration, GPU quota governance, infrastructure-as-code adoption, and availability baseline enforcement.
Responsibilities
- 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.
- 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 Innovation POD strategy to develop self-healing and autonomous capabilities that proactively prevent service degradation before it impacts availability.
- 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.
- Lead GPU FinOps governance - utilization optimization, tenant quota enforcement, and cost reduction - in partnership with the Finance organization.
- Security and Compliance: Empower the Security SRE Lead to maintain a world-class security posture across the infrastructure and platform layers, with robust compliance to frameworks including HIPAA and NIST AI RMF.
- Program Transition and Operating Model: Lead the operational transition from program-launch staffing to permanent CVS-owned operations - governing phased handoffs, competency validation, and milestone sign-offs to ensure minimal disruption to platform availability and business operations.
- Establish and lead the long-term operating model by institutionalizing key technical, architectural, and delivery leadership capabilities into permanent CVS roles, ensuring the organization is fully self-sustaining at program close.
- Vendor and Stakeholder Management: Own vendor relationships, contract performance, and accountability across the hardware, networking, platform, and managed-services stack.
- Manage budget ownership for the AI infrastructure and platform engineering organization, including capital planning and operational expense governance.
Requirements
- The successful candidate will demonstrate technical depth, executive presence, and a proven record of operating physical infrastructure at data center scale.
- Managed cloud services (EKS, GKE, AKS) alone do not substitute for the practitioner expertise this role requires.
- Proven success establishing and enforcing operational baselines, SLO / SLI / error-budget frameworks, and observability-driven continuous improvement in physical-infrastructure-anchored environments.
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
Nice to have
- Hands-on experience with Cisco UCS, NVIDIA HGX / DGX / Blackwell systems, and VAST or comparable distributed NVMe storage.
- Direct experience operating GPU clusters of 32 or more GPUs in production environments - including HPC, AI training, research computing, or comparable workloads.
- NVIDIA AI Enterprise, NVIDIA Run:AI, NVIDIA Base Command Manager, or comparable GPU orchestration platform experience.
- Chaos engineering and AI-driven operations experience - predictive alerting and automated remediation patterns.
- Background in innovation programs, POD structures, or centers of excellence.
Skills
- Govern access controls, audit logging, vulnerability management, and network segmentation across the AI compute environment.
Compensation
- The typical pay range for this role is: $175,100.00 - $334,750.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.
- The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.
- This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- Our people fuel our future.
- Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
- Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Benefits
- We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience.
- Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
- 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.
Company info
- our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people.
- Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful.
- They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.
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This listing is sourced directly from Oak Street Health's careers page and normalized into a canonical job model.