Senior Director, AI-Driven Software Platforms

CVS Health Corporation; Atlanta (GA); On-site; USD 144,000 - 288,000; Full time

Job summary

CVS Health Corporation is seeking a senior software engineering leader in the United States to drive technical strategy across a multi-team organization of 50-150+ engineers. You will set architectural standards and elevate engineering excellence, shaping the core engineering decisions that power health tech platforms.

You will embed 10x leverage through LLMs, generative AI, and ML-powered automation, delivering production-grade capabilities beyond pilots while aligning with business goals and

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 deployment experience.

Responsibilities

• Drive technical strategy across a multi-team engineering organization (50-150+ engineers).
• Embed LLMs, generative AI, agentic workflows, and ML-powered automation into production-grade engineering processes.
• Own delivery at velocity with accountability for outcomes.
• Partner at the executive level with Product owners, Data Engineers, and Health care leaders.
• Be the technical voice in the room to address architectural debt and investment.

Skills

Distributed systems

Cloud-native architectures

Backend engineering

AI platform ownership

LLM orchestration

Engineering leadership

Education

Bachelor's degree in CS or related

Master's degree

Tools

Vector databases

Job description

CVS Health Corporation is seeking a senior software engineering leader in the United States to drive technical strategy across a multi-team organization of 50-150+ engineers. You will set architectural standards and elevate engineering excellence, shaping the core engineering decisions that power health tech platforms.

You will embed 10x leverage through LLMs, generative AI, and ML-powered automation, delivering production-grade capabilities beyond pilots while aligning with business goals and