Executive Director, Engineering - AI Automation

CVS Health

Remote

Quick summary

Work type
Remote
Location
Wellesley, MA
Salary
$175,100–$334,750 / yr
Posted
3 days ago
Closes
Jun 26, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $255k
$156k most similar roles pay here $354k

This role pays more than 75% of similar roles. Most pay $186,025–$253,062 — the shaded band above. At the midpoint, this role pays about $255k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 156 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 152 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Executive Director, Engineering - AI Automation

The Executive Director of Engineering - AI Automation leads a 50+ person organization responsible for developing enterprise-scale AI-driven automation solutions for contact centers. This role involves setting engineering strategy, driving execution excellence, and ensuring the delivery of secure and reliable platforms that enhance customer experience and operational efficiency. The leader works closely with Data Science and Product teams to translate business needs into scalable AI systems while overseeing platform roadmaps and fostering a culture of innovation and accountability. Essential qualifications include over 10 years of software engineering or AI/ML development experience, including leadership roles, hands-on delivery of enterprise-scale AI systems, and deep knowledge of modern engineering practices such as cloud-native architectures and CI/CD automation.

What you'll do

  • Define engineering strategy across AI platforms, data pipelines, software systems, and integration architectures.
  • Partner with Data Science and Product teams to translate business outcomes into scalable, production-grade AI systems.
  • Drive engineering excellence by setting standards for reliability, security, code quality, CI/CD, and observability/SRE.
  • Oversee execution of platform roadmaps, ensuring timely delivery, adoption, and operational performance of AI solutions.
  • Develop and mentor engineering leaders to foster a culture of innovation, accountability, and continuous improvement.

What we're looking for

  • Over 10 years of experience in software engineering, platform engineering, or AI/ML development.
  • At least 5 years of senior leadership experience in engineering roles.
  • Hands-on expertise in delivering large-scale enterprise AI systems.
  • Deep understanding of modern engineering practices including cloud-native architectures and SRE principles.
  • Strong ability to influence stakeholders and partner with Data Science and Product teams.
  • Proven track record in building and growing high-performing engineering cultures.

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