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The CO+I AI Delivery team is focused on delivering various platform services to our global AI customers. This role will require deep partnership throughout all of Microsoft as these programs will be on the leading edge of innovation and will include driving pilots and other experiments that shape our ongoing commitment to deliver AI platform services rapidly at cloud scale. We are part of Cloud Operations + Innovation (CO+I), the team behind one of the world’s largest cloud infrastructures, responsible for powering all Microsoft online products and services as well as powering Microsoft’s “Cloud First” mission. CO+I is focused on growth, efficiency, and delivering a trusted experience to customers and partners worldwide.
Job Responsibility:
Own end‑to‑end technical programs focused on accelerating AI deployment timelines, from requirements through live production
Drive execution across multiple parallel workstreams, ensuring alignment on scope, milestones, dependencies, risks, and outcomes
Establish clear success metrics and mechanisms to track delivery, quality, and velocity
Document appropriately all artifacts during deliberative processes and established consensus
Partner deeply with hardware engineering, software engineering, infrastructure, networking, data center operations, and supply chain teams to unblock execution
Act as the central point of coordination across highly interdependent teams and external partners
Influence decision‑making with data, technical insight, and strong executive communication
Develop deep working knowledge of AI deployment architectures, including compute (GPU/accelerators), networking, storage, racks, power, cooling, and platform readiness
Identify technical risks early and drive mitigation strategies across hardware, firmware, software, and operational domains
Translate complex technical concepts into clear, actionable plans for both technical and non‑technical stakeholders
Identify bottlenecks and non‑value‑added activities across the deployment lifecycle and drive improvements to reduce time‑to‑live
Define and implement repeatable deployment playbooks, standard operating procedures, and automation opportunities
Leverage retrospectives and data to continuously improve deployment velocity and reliability
Ensure platform, tooling, monitoring, and operational readiness for AI workloads prior to production cutover
Partner with service owners to validate scalability, resiliency, security, and operational support models
Provide crisp, data‑driven updates to senior leadership on progress, risks, mitigation plans, and business impact
Clearly articulate tradeoffs and recommend paths forward in high‑ambiguity environments
Requirements:
Bachelor’s degree in Engineering, or a related technical field (or equivalent experience)
Experience as a Technical Program Manager, Program Manager, or similar role in highly technical environments
Proven experience leading complex, cross‑team technical programs with significant infrastructure or platform components
Strong technical foundation in one or more of the following: Cloud infrastructure and distributed systems