Executive Director, Solution & AI Engineering

CVS Health•Woonsocket, RI

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. CVS Health is reimagining how members engage with their health — combining AI-powered assistance, personalized care navigation, and seamless digital experiences to improve outcomes at scale. As Executive Director of Solution & AI Engineering, you will lead the strategic vision, development and execution of our technology roadmap. You will drive innovation, manage cross-functional teams, and ensure the delivery of high-quality products that exceed consumer expectations. As a key strategic leader, you will partner deeply with stakeholders across CVS Health to understand consumers, current product landscape, operational needs, and business goals — developing long-term visions, technical strategies, and roadmaps that deliver value. Design thinking is at the center of all you do, ensuring consumer centricity is the core of everything we build so that we deliver the right value to the right person at the right time.

Requirements

15+ years of progressive experience in technology roles, including significant experience in solution architecture and/or AI/ML engineering
8+ years in people leadership roles, managing managers and building multidisciplinary technical teams
Demonstrated experience designing and delivering enterprise-scale architecture (cloud, microservices, distributed systems, integration patterns)
Familiarity with AI/ML systems, including modern generative AI and LLM-based architectures
Track record of translating business strategy into technical roadmaps and executing at scale
Strong executive presence with experience presenting to senior leadership and/or boards
Experience leading large-scale, globally distributed teams, and ensuring the health and stability of production operations.
Technical expertise in triaging, understanding, and solving complex challenges across various technology stacks, enterprise integrations, and vendor platforms.
Bachelor’s Degree

Nice To Haves

Exposure to cloud-native architectures (AWS, Azure, or GCP) in an enterprise environment.
Background working with software development vendors as delivery partners — including SOW management, onboarding, and performance accountability.

Responsibilities

Define and drive the long-term technical vision and roadmap for solution engineering and AI engineering, aligned with overall business strategy
Serve as a key member of the technology leadership team, advising executives and the board on AI strategy, architecture standards, and emerging technology opportunities
Translate business objectives into scalable, secure, and maintainable technical solutions
Build, lead, and mentor a multidisciplinary organization of solution engineers, AI engineers, and engineering managers
Establish career development frameworks, hiring plans, and performance management practices to attract and retain top technical talent
Foster a culture of technical excellence, collaboration, and continuous learning
Own standards, governance, and design review processes across the organization
Ensure solutions are designed for scalability, security, resilience, and cost-efficiency
Evaluate and select technology platforms, tools, and vendors in partnership with engineering and procurement teams
Own delivery of engineering frameworks & products supporting multiple lines of business
Direct the design, development, and deployment of AI solutions, including generative AI
Establish best practices for responsible AI development, including model governance, data privacy, and ethical AI use
Partner with product, and business teams to identify and prioritize high-value AI use cases
Partner with product management, engineering, and business stakeholders to ensure solution engineering and AI initiatives deliver measurable business value
Manage budgets, vendor relationships, and resource allocation across the portfolio of solution engineering and AI programs
Present technical strategy and progress updates to executive leadership