Senior Director, AI-Driven Software Engineering

CVS Health

Saint Paul (MN)

On-site

USD 144,000 - 288,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Paid time off
Retirement plan
Wellness programs
Equity awards

Job summary

CVS Health is seeking a Lead Director of Software Engineering to drive the technical strategy for a multi-team organization and elevate engineering standards. You will own delivery velocity, oversee AI-powered initiatives, and partner with business and health leaders to translate strategy into engineering bets.

The role demands a strong foundation in distributed systems, cloud-native architectures, and production AI systems, with a track record of transforming monoliths to microservices.

Qualifications

  • 10+ years of progressive software engineering experience, including 5+ years leading large-scale engineering organizations.
  • Deep, hands-on technical foundation in distributed systems and cloud-native architectures.
  • Proven AI platform ownership with production AI systems.
  • Track record of migrating monoliths to microservices and modernizing legacy platforms.

Responsibilities

  • Drive technical strategy across a multi-team engineering org (50-150+ engineers).
  • Embed LLMs, AI, agentic workflows, and ML-powered automation into the lifecycle.
  • Own delivery at velocity and hold teams to outcomes, not roadmaps.
  • Partner with Product, Data, and Health care leaders to translate strategy into engineering bets.
  • Advocate for the right engineering investments and push back on infeasible timelines.

Skills

Distributed systems
Cloud-native architectures
AI platform ownership
Leadership at scale
MLOps / AI integration

Tools

Vector databases
RAG architectures
LLM orchestration

Job description

CVS Health is seeking a Lead Director of Software Engineering to drive the technical strategy for a multi-team organization and elevate engineering standards. You will own delivery velocity, oversee AI-powered initiatives, and partner with business and health leaders to translate strategy into engineering bets.

The role demands a strong foundation in distributed systems, cloud-native architectures, and production AI systems, with a track record of transforming monoliths to microservices.

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