Location:

Chandler, AZ

Salary Range:

Competitive



Introduction

The individual in this role will lead the end-to-end architecture and operational governance for private cloud infrastructure supporting LLM and agentic AI implementations, including GPU and accelerated compute platforms. This position is crucial for ensuring security, reliability, auditability, and FinOps requirements are met.

Required Skills & Qualifications

• 10 years in infrastructure architecture, platform engineering, or private cloud engineering in large-scale enterprise environments.


• Demonstrated experience designing/operating hybrid data center infrastructure (private cloud, on-prem virtualization/container platforms, storage, network).


• Hands-on experience with GPU platforms and accelerated compute operations (cluster design, scheduling, capacity planning, monitoring, lifecycle management).