Lead Director, AI/ML Solutions Engineering & Delivery

CVS Health

1d • Remote

About The Position

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.

Requirements

• 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 pipelines, and multi-tenant architectures.
• 5+ years of experience with agentic AI system lifecycle practices, including CI/CD, evaluation, monitoring, drift detection, and rollback.
• 10+ years of experience with modern cloud platforms, Kubernetes, infrastructure-as-code, and secure software supply chain practices.
• 5+ years building AI-enabled applications using LLMs, RAG, embeddings, vector stores, and tool/function calling, including designing evaluation frameworks and safety guardrails (e.g., GCP Vertex AI, Azure Foundry, Anthropic Claude Agents).

Nice To Haves

• Acts as a trusted advisor, providing expert guidance within a technical specialization to enhance the effectiveness of complex initiatives.
• Experience advising on scaling AI/ML platforms and ensuring adherence to technical strategies, standards, and policies.
• Strong technical acumen with the ability to apply deep knowledge of specific technologies to practical solutions.
• Demonstrated thought leadership and awareness of emerging AI/ML industry trends and best practices.
• Strong presentation skills, including the ability to create clear, compelling executive-level materials and communicate effectively with diverse stakeholders.
• Excellent communication skills, translating complex tradeoffs into clear recommendations and executable plans.
• Proven program and project management experience leading multiple initiatives in parallel.

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.

Benefits

• This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
• This position also includes an award target in the company’s equity award program.
• This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
• The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
• Additional details about available benefits are provided during the application process and on Benefits Moments.

What This Job Offers

• Job Type: Full-time
• Career Level: Director