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.

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.

PRIMARY DUTIES AND RESPONSIBILITIES

Scalable Architecture & Technical Leadership

• 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.

Innovation-to-Production Delivery

• 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.

Engineering Enablement & Community of Practice

• 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.

People, Financial, and Vendor Management

• 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.

REQUIRED QUALIFICATIONS

• 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.