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.

Job Description

Sr Mgr, Machine Learning Engineering

Role Summary

The Sr Mgr, Machine Learning Engineering is responsible for leading high‑performing AI engineering teams that design, build, deploy, and operate scalable, production‑grade AI systems. This role blends people leadership, technical depth, and strategic execution, ensuring AI solutions reliably deliver business value while meeting enterprise standards for quality, security, and performance.

This role serves as a hands‑on people leader who sets technical direction, develops engineering talent, and partners closely with product, data, and business stakeholders. The Sr. Manager operates with autonomy, owns delivery outcomes across multiple initiatives, and contributes to longer‑term platform and capability strategy within AI Engineering while remaining aligned to the Machine Learning Engineering management discipline.

Key Responsibilities

People & Team Leadership

• Lead, coach, and develop a team of AI Engineers, including team leads and senior engineers
• Establish clear goals, performance expectations, and development plans aligned with AI Engineering career frameworks
• Foster a culture of technical excellence, accountability, inclusion, and continuous improvement
• Support hiring, onboarding, and team capacity planning to meet delivery and growth objectives
• Provide regular feedback, mentorship, and succession planning for key technical and leadership roles

Technical & Delivery Leadership

• Own delivery of multiple concurrent AI initiatives, ensuring solutions are scalable, reliable, and production‑ready
• Guide architecture and design decisions for AI systems, pipelines, and platforms in partnership with senior engineers
• Ensure best practices across model development, deployment, monitoring, and AI lifecycle management
• Balance near‑term execution with longer‑term technical health, platform evolution, and reuse
• Drive operational excellence, including reliability, performance, cost efficiency, and incident management

Strategy & Stakeholder Partnership

• Partner with product, data science, engineering, and business leaders to translate business needs into AI solutions
• Contribute to AI Engineering strategy, roadmaps, and prioritization decisions
• Communicate progress, risks, and trade‑offs clearly to leadership and stakeholders
• Influence cross‑functional teams and leaders without direct authority to achieve shared outcomes

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience)
• 5+ years of experience in software engineering, AI engineering, or applied AI roles
• 3+ years of people management experience or team lead, including leading senior technical contributors
• Demonstrated experience delivering and operating production AI systems at scale
• Strong understanding of AI engineering concepts such as model deployment, data pipelines, system reliability, and AI lifecycle management
• Proven ability to lead teams, influence stakeholders, and deliver results in complex environments

Preferred Qualifications

• Master’s degree in a related technical field
• Experience leading AI platforms or shared services used by multiple teams
• Experience partnering with cloud, data, or security teams
• Familiarity with responsible AI, governance, and enterprise AI standards

Leadership Expectations (Senior Manager Level)

• Operates independently with minimal direction on execution
• Sets direction for teams and contributes to broader AI Engineering strategy
• Develops leaders and senior technical talent
• Manages ambiguity and makes sound decisions that balance business, technical, and people

Pay Range

The typical pay range for this role is:

$83,430.00 - $213,210.00

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.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 02/27/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.