Senior Manager, AI Engineer

CVS Health

Closes in 2 days Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$130,295–$260,590 / yr
Posted
5 days ago
Closes
Jun 30, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $195k
$115k most similar roles pay here $277k

This role pays less than 70% of similar roles. Most pay $185,900–$246,150 — the shaded band above. At the midpoint, this role pays about $195k versus about $216k 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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Manager, AI Engineer

The Head of AI Engineering and Strategy role at Aetna Medicare Product Tools and Technology is a senior leadership position within the engineering organization, responsible for defining and leading the vision for enterprise AI capabilities. This individual will establish platforms, infrastructure, and operating models to design, build, and scale AI-driven applications across the company. Key responsibilities include overseeing the development of training data pipelines, establishing standards for model performance monitoring, and driving the integration of AI into mission-critical systems. The ideal candidate has extensive experience in leading engineering or AI organizations within large-scale enterprises, proficiency in languages like Python, C#, Java, and hands-on experience with cloud platforms such as Azure, AWS, and GCP. Additionally, familiarity with tools like Snowflake, Databricks, and Kubernetes is essential for building scalable data pipelines and ensuring solutions meet enterprise standards for reliability and security.

What you'll do

  • Define and lead the technical vision for enterprise AI capabilities, including LLMs and conversational voice AI.
  • Establish standards for model performance monitoring and lifecycle governance across the organization.
  • Drive integration of AI capabilities into customer-facing systems and internal analytics environments.
  • Set direction for AI safety practices and responsible AI implementation within the company.
  • Own AI investment strategy and resource allocation to ensure alignment with long-term business goals.
  • Serve as a trusted advisor to executive leadership on AI strategy, risks, and business impact.

What we're looking for

  • Extensive experience leading engineering or AI and ML organizations in large enterprises.
  • Proven ability to influence executive stakeholders and drive enterprise technology investment strategy.
  • Deep expertise in software engineering fundamentals, including SDLC, architecture, and distributed systems design.
  • Hands-on experience with AI/ML frameworks, platforms, and applied AI systems, including LLMs and conversational voice/chat AI.
  • Experience building scalable data pipelines and working with structured and unstructured data across cloud platforms (Azure, AWS, GCP).
  • Strong understanding of APIs, microservices, and cloud-based architectures, ensuring scalability, reliability, performance, and security.

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