Director of AI-Driven Software Engineering

CVS Health

Nashville (TN)

On-site

USD 144,000 - 288,000

Full time

12 days ago
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Benefits offered by this job

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs

Job summary

CVS Health is seeking a Lead Director of Software Engineering in Nashville to define strategy for a large multi-team engineering organization and elevate technical standards. You will drive production-ready AI and ML capabilities, mentor senior engineers, and partner with product and business leaders to translate strategy into actionable bets.

You will own delivery velocity, demand architectural excellence, and lead modernization efforts while scaling systems to serve millions of users across

Qualifications

  • 10+ years of progressive software engineering experience, including 5+ years leading large-scale engineering organizations.
  • Deep hands-on experience with distributed systems and cloud-native architectures.
  • Proven AI platform ownership with production AI deployments and model pipelines.
  • Track record of engineering transformation migrating monoliths to microservices.

Responsibilities

  • Drive technical strategy across a multi-team engineering organization (50-150+ engineers).
  • Embed LLMs, generative AI, agentic workflows, and ML-powered automation into the lifecycle as production-grade differentiators.
  • Own delivery at velocity and be accountable for outcomes.
  • Partner with Product owners, Data Engineers, and healthcare leaders to translate business strategy into engineering bets.
  • Advocate for the right engineering investments and call out architectural debt.

Skills

Distributed systems
Cloud-native architectures
AI platform ownership
Engineering leadership
Backend scale

Tools

Vector databases
LLM orchestration

Job description

CVS Health is seeking a Lead Director of Software Engineering in Nashville to define strategy for a large multi-team engineering organization and elevate technical standards. You will drive production-ready AI and ML capabilities, mentor senior engineers, and partner with product and business leaders to translate strategy into actionable bets.

You will own delivery velocity, demand architectural excellence, and lead modernization efforts while scaling systems to serve millions of users across

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