Technical Program Leader – AI Infrastructure

Designworks Talent LLC

. Lead complex AI infrastructure and data center deployment programs from planning through production handoff .

Posted 9/18/2026full-timeBellevue • Washington • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading complex AI infrastructure and data center deployment programs, with a strong focus on deployment planning, operational readiness, and stakeholder coordination. Proficient in managing technical workstreams, schedules, risks, and producing executive-level updates.

Highest-signal resume keywords

AI Infrastructure DeploymentData Center OperationsTechnical Deployment ManagementRisk ManagementStakeholder Coordination

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Rack-and-StackStructured CablingPower ManagementCooling SystemsNetworkingStorage SolutionsGPU InfrastructureCommissioningOperational ReadinessDeployment Planning

Soft Skills

LeadershipCommunicationProblem-SolvingCollaborationDecision-Making

Tools & Technologies

RAID LogsReadiness DashboardsStatus ReportsAction TrackersPerformance Acceptance

Certifications & Qualifications

PMPPRINCE2ITILUptime InstituteCiscoAristaNVIDIAVMwareAWSAzure

Industry Keywords

Cloud InfrastructureHyperscaleHPCMission-Critical FacilitiesAI Infrastructure

Tech Stack

Tools & technologies

AWSAzureCloudPMPVMware

About the role

Key responsibilities & impact

Lead complex AI infrastructure and data center deployment programs from planning through production handoff
Coordinate site readiness, racks, cabling, power, cooling, networking, storage, and GPU infrastructure
Translate technical requirements into deployment plans, milestones, readiness criteria, and deliverables
Partner with engineering, infrastructure, facilities, operations, supply chain, OEMs, contractors, and vendors
Own program schedules, dependencies, critical paths, risks, issues, actions, key decisions, and RAID
Drive commissioning, integrated systems testing, burn-in, validation, punch-list resolution, and operational readiness
Identify blockers and keep complex deployments moving
Provide updates to technical and executive leadership on progress, risks, trade-offs, and decisions
Establish repeatable processes for deploying AI infrastructure efficiently and reliably at scale
Lead work across GPU infrastructure, high-performance networking, AI/HPC storage, high-density infrastructure, cluster bring-up, performance acceptance, and production operations as applicable

Requirements

What you’ll need

7+ years in data center infrastructure, technical deployment, mission-critical facilities, cloud, hyperscale, HPC, AI infrastructure, or a related environment
Experience with rack-and-stack, structured cabling, power, cooling, networking, storage, GPU infrastructure, commissioning, or operational readiness
Experience leading technical workstreams and coordinating engineering teams, vendors, contractors, and other stakeholders
Strong understanding of deployment planning, technical acceptance, defect management, change control, and production handoff
Experience managing complex schedules, risks, dependencies, action items, and executive reporting
Experience producing status reports, RAID logs, action trackers, readiness dashboards and leadership updates
Meaningful depth in several AI/GPU/HPC infrastructure areas
U.S. work authorization required
Visa sponsorship is not currently available
A degree in engineering, computer science, IT, data center operations, or a related technical field is preferred but not required
PMP, PRINCE2, ITIL, Uptime Institute, commissioning, data center, networking, cloud, GPU, or AI infrastructure certifications are a plus
Related technology accreditations such as Cisco, Arista, NVIDIA, VMware, AWS, Azure or comparable infrastructure, network, cloud, GPU or AI platform certifications are a plus

Benefits

Comp & perks

Fully remote for qualified candidates elsewhere in the U.S.
Hybrid work arrangement in Bellevue, WA with 3 days per week in the office for candidates within reasonable commuting distance
Up to 50% travel may be required