Senior Manager, Machine Learning Engineering

CVS Health

23h

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. 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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
• 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
• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager