Director of AI Supercomputing Delivery

Microsoft•Redmond, WA

2d•$142,800 - $304,200

About The Position

The CO+I Artificial Intelligence (AI) Delivery organization is responsible for enabling Microsoft’s next generation of hyperscale AI supercomputing capacity. The team has close collaboration throughout Microsoft, as these initiatives will be at the forefront of innovation, involving pilot programs and other experiments that shape our continued dedication to delivering AI platform services quickly and on a large scale.

Requirements

Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
3+ years of experience managing cross-functional and/or cross-team projects.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Bachelor’s Degree and 10+ years experience in engineering or product/technical program management in AI infrastructure, cloud-scale systems, or hardware integration, OR equivalent experience.
8+ years experience managing cross-functional and cross-team initiatives at global scale.
4+ years experience leading large-scale infrastructure deployments or capacity planning programs for cloud services.
1+ year Experience building or deploying agentic AI solutions (autonomous agents, orchestration frameworks, automated decision making systems).
2+ years designing or implementing software defined networks (SDN) in hyperscale, enterprise, or cloud environments.

Responsibilities

Establish, evolve, and drive adoption of global design and deployment standards for AI supercomputing capacity. Ensure consistency, predictability, and repeatability across regions, datacenter generations, and hardware platforms.
Lead the identification, evaluation, and implementation of new technologies, processes, and architectural approaches that increase Microsoft’s ability to scale AI infrastructure deployments rapidly and reliably.
Design and operationalize best practices, automation, and integration improvements that reduce cycle time for bringing new compute, network, and storage capacity online across the commercial cloud.
Serve as a thought leader for emerging technologies, deployment models, and AI infrastructure capabilities. Partner with engineering, hardware, networking, and operations teams to incubate and land forward looking solutions.