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# Lead Director of Software Engineering

- **Company:** CVS Health
- **Location:** United States
- **Experience:** Expert
- **Salary:** $144,200.0 - $288,400.0
- **Contract:** Permanent contract
- **Skills:** Cloud Engineering, Distributed Systems, Software Engineering, Data Processing, Large Language Models, Prompt Engineering, AI Platforms, Microservices
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/51f1f664-1868-41ee-8ec4-27a2bd35014c

## About the Role

10+ years of progressive software engineering experience, including 5+ years leading large-

scale engineering organizations. You have built and scaled systems that serve tens of thousands

of users. You know what happens when your system goes down.

Deep, hands-on technical foundation in distributed systems, cloud-native architectures, and

modern backend engineering at scale.

Proven AI platform ownership. You have deployed production AI systems - not POCs, not

demos, not limited to prompt engineering. You understand model deployment pipelines, vector

databases, RAG architectures, LLM orchestration, inference optimization, and responsible AI

principles.

Track record of engineering transformation. You have migrated monoliths to microservices,

modernized legacy platforms under real business pressure, and lived the consequences of every

architectural decision you've made.

Preferred Qualifications

Healthcare or highly regulated domain experience - You have navigated HIPAA, CMS

compliance, PHI data handling development.

Platform engineering ownership - You have built or led internal developer platforms,

engineering productivity tooling.

## Description

We're looking for a Lead Director of Software Engineering who thinks like a founder, executes like a

principal engineer, and leads like someone who's done it at the highest levels of the industry. You will

set the bar - and then raise it.

What You'll Actually Do:

Drive technical strategy across a multi-team engineering organization (50-150+ engineers),

setting architectural standards, defining engineering excellence benchmarks, and personally

reviewing and elevating the work.

Operational Efficiency. Every system design decision you make should start with the question:

How to create10x leverage? You will actively embed LLMs, generative AI, agentic workflows, and

ML-powered automation into the engineering lifecycle, not just as experiments, but as

production-grade differentiators.

Own delivery at velocity. You ship. You are accountable for outcomes, not roadmaps. You hold

your teams to the same standard.

Partner at the executive level - with Product owners, Data Engineers, and Health care business

leaders - translating business strategy into engineering bets with precision and conviction.

Be the technical voice in the room You call out architectural debt, push back on infeasible


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