Lead Director, AI​/ML Solutions Engineering & Delivery

POSITION SUMMARY

CVS Health is hiring a Lead Director, AI/ML Solutions Engineering & Delivery to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability. The Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI‑powered platforms and solutions at Fortune 5 scale.

This role is foundational to developing that capability.

Reporting to the Executive Director of AI/ML, this leader will build and lead an engineering and delivery organization responsible for designing, scaling, and delivering AI/ML solutions and reusable products. The role partners closely with leaders and engineers across IT Operations, Security, AI/ML, Observability, and Product to establish standards, frameworks, and massively scalable architectures while leading end‑to‑end delivery from proposal and prototype through production and enterprise adoption.

This is a U.S.

-based remote position; candidates must reside within the United States.

• Define and operationalize engineering standards for AI/ML‑native applications, including secure‑by‑design patterns, dependency management, testing strategies, and documentation.
• Lead architecture and design reviews for high‑impact initiatives; identify risks across security, privacy, resiliency, data quality, cost, and compliance, and drive mitigation plans.
• Design and evolve agentic AI systems that support real‑time and batch workloads, high‑throughput inference, low‑latency APIs, and multi‑tenant enterprise usage.
• Drive platform‑level architecture decisions across multi‑cloud and on‑prem environments, including GPU/accelerator strategy, Kubernetes orchestration, networking, storage, and identity.

• Partner with intake, governance, product, operations, security, and engineering stakeholders to shape proposals and business cases; translate objectives into executable technical roadmaps.
• Rapidly build and validate proofs of concept with clear success criteria (OKRs, KPIs) in collaboration with stakeholders.
• Scale validated solutions into production‑grade platforms and reusable products using CI/CD, automated testing, observability, and cost controls, enabling broad adoption through standard components and tooling.

• Mentor senior and staff engineers; elevate engineering quality through coaching, reusable design patterns, and onboarding materials.
• Develop internal developer playbooks, templates, and golden paths to accelerate delivery while ensuring compliance with enterprise standards.
• Serve as a technical liaison across AI/ML teams at CVS Health to promote reuse, interoperability, and consistent practices.

• Recruit, retain, and develop high‑performing technical product managers, engineering managers, and senior engineers; establish clear career paths and a culture of continuous learning.
• Own delivery proposals, project estimates, budgets, chargeback models, and vendor relationships, ensuring value, performance, and compliance.
• Establish operating rhythms, delivery metrics, and transparent reporting for execution health, product quality, and cost management.
• Enforce strong project management and agile practices across all delivery cycles.
• Collaborate effectively across a matrixed organization and geographically dispersed virtual teams.

• 10+ years of progressive software engineering experience, including enterprise platforms and distributed systems.
• 5+ years delivering AI/ML‑enabled systems (including GenAI and Agentic AI) to production with strong reliability, security, and governance.
• 10+ years leading large‑scale initiatives across multiple teams in regulated or high‑compliance environments.
• 10+ years of experience with IT operations, cybersecurity standards, and best operational practices.
• 5+ years designing scalable, resilient AI solutions, including APIs, event‑driven systems, data…