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CVS Health

Senior Manager – Software Development Engineering, AI

CVS Health

Senior Manager leading the AI LaunchPad platform engineering at CVS Health. Driving strategy, architecture, and delivery of enterprise-scale AI solutions.

Posted 5/14/2026full-timeRemote • Idaho, Montana, Texas • 🇺🇸 United StatesSenior💰 $106,605 - $284,280 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformMicroservices

About the role

Key responsibilities & impact
  • Recruit, retain, and grow a high-performing team of AI and platform engineers.
  • Own the AI LaunchPad product and engineering roadmap — balancing immediate delivery commitments with long-term platform scalability.
  • Provide architectural oversight for agentic AI systems, RAG pipelines, LLM evaluation frameworks, and MLOps infrastructure.
  • Partner with HCD product, data, compliance, security, and business unit leaders to align the AI LaunchPad roadmap with enterprise priorities.
  • Drive end-to-end delivery of platform features — from design to production — using Agile/SAFe practices.
  • Evaluate and manage relationships with cloud providers (GCP, AWS, Azure) and AI vendors.
  • Ensure all AI systems built on the platform meet HIPAA, security, and regulatory requirements.

Requirements

What you’ll need
  • 7+ years of software engineering experience, with 3+ years in an engineering management or technical lead role overseeing teams of 4 or more engineers.
  • Demonstrated experience architecting and delivering large-scale, enterprise AI/ML or data platforms — ideally serving thousands of users or multiple business units.
  • Technical depth in modern AI/ML infrastructure: cloud-native architectures (AWS, GCP, or Azure), MLOps, LLM platforms (Bedrock, Vertex AI, or equivalent), and agentic AI patterns.
  • Strong full-stack platform engineering background including microservices, serverless architectures, API design, authentication/authorization (OAuth, SSO, SAML), and CI/CD.
  • Proven ability to drive cross-functional alignment across product, engineering, data, security, and business stakeholders.
  • Experience defining and tracking engineering health metrics (DORA, SLOs, incident management) and driving operational excellence.
  • Excellent communication skills — able to present technical roadmaps and trade-offs to both executive audiences and engineering teams.

Benefits

Comp & perks
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • other resources, based on eligibility

ATS Keywords

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Hard Skills & Tools
AI systems architectureMLOpscloud-native architecturemicroservicesserverless architectureAPI designauthenticationauthorizationCI/CDlarge-scale AI/ML platforms
Soft Skills
team leadershipcross-functional alignmentcommunication