Executive Director, Distinguished Engineer - AI Platform

The Distinguished Engineer, AI Platform will serve as a senior technical leader responsible for architecting and evolving the enterprise AI platform infrastructure. This role combines deep technical expertise in platform engineering with AI/ML systems to enable scalable, secure, and governed AI capabilities across the organization.

The position demands deep technical expertise in application architecture, with a strong emphasis on automation and artificial intelligence (AI). The role involves architecting scalable platforms that intelligently manage enterprise architecture, data, and AI capabilities. This leader collaborates cross-functionally with stakeholders across engineering, data, security, and governance to shape the technical strategy and innovation roadmap for the AI Platform.

The ideal candidate brings a forward-thinking mindset, a passion for emerging technologies, and a proven ability to translate complex business needs into impactful digital solutions. This leader leads the design, development, and implementation of advanced solutions for the AI Platform., * Define and implement the overall technical strategy and design principles for the AI Platform.

• Evaluate and recommend technology platforms, frameworks, and tools that align with strategic business goals.

• Define, engineer, and implement strategic automation and AI use cases that enhance AI capabilities for the organization

• Engage in research and development activities to explore new technologies, conduct proofs-of-concept, and identify innovative solutions to advance AI Platform capabilities.

• Collaborate with cross-functional teams, including product, design, engineering, and business stakeholders to ensure alignment between technical decisions and business objectives.

• Provide technical leadership and expertise to guide the organization in adopting and leveraging emerging technologies.

The candidate will have a strong work ethic, be a self-starter, and be able to be highly productive in a dynamic, collaborative environment. This position offers broad exposure to all aspects of enterprise AI platform development, as well as significant interaction with business leaders. The candidate will be expected to have the following key attributes:

• 15+ years of relevant work experience in Software Engineering or related fields.

• 7+ years of experience in deep problem solving and decision-making skills with the ability to translate complex business requirements into technical solutions.

• 5+ years of experience in platform engineering, infrastructure, or distributed systems.

• 2+ years of experience with AI/ML systems, including LLM integration or AI platform development.

• Proven experience building enterprise-scale platforms from scratch supporting thousands of developers and high-volume workloads.

• Experience in managing complex projects and initiatives, ensuring alignment with organizational goals and objectives.

• Excellent stakeholder engagement skills, with the ability to collaborate effectively with cross-functional teams.

• Strong execution and delivery (planning, delivering, and supporting) skills; proven track record of designing and implementing large-scale automation solutions within complex organizational structure.

Preferred Qualifications:

• Experience defining AI platform strategy and roadmaps at an enterprise level.

• Understanding of governance frameworks and best practices for ensuring compliance.

• Demonstrated experience in driving automation and data strategies that enhance operational efficiency and decision-making capabilities.

• Expertise in data architecture, including the design of data models and metadata standards.

• Background in building internal developer platforms (IDP) or Platform-as-a-Service (PaaS) solutions.

• Experience with data platform technologies (streaming, data mesh, modern data architectures).

• Distributed systems: Consensus protocols, high-availability architectures, and scalable microservices design.

• Developer platform capabilities: CI/CD pipelines, infrastructure-as-code, observability, and developer experience tooling.

• Experience leading large engineering organizations or platform teams.

Education:

• Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.

• Master’s degree or PhD preferred.

$175,100 - $334,750 a year

Tuition reimbursement, Employee stock purchase plan, Health insurance, 401(k) matching, Paid time off, Family leave, Flexible spending account, Flexible schedule, $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. This position also includes an award target in the company’s equity award program.

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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.