Technical Project Manager - AI Infrastructure & Data Center Deployment (North America)

CLOUDENGINE DIGITAL PTE. LTD.; Singapore; Sur place; SGD 154 000 - 230 000; Plein temps

Résumé du poste

CLOUDENGINE DIGITAL PTE. LTD. in Singapore is seeking a technically strong Technical Project Manager to lead AI infrastructure and data center deployment projects for major customers across North America.

You will coordinate cross-functional engineering teams, supply chain partners, and external vendors to ensure projects are delivered on schedule, within scope, and to the required specifications. Based in Singapore with approximately 50% travel to North America, the role balances on-site client

Qualifications

• Hands-on experience in AI infrastructure, GPU server deployments, HPC environments, or data center infrastructure integration.

Responsabilités

• Lead end-to-end delivery of AI infrastructure and GPU cluster deployments across North America.
• Develop project plans, milestones, timelines, risks, and deliverables.
• Coordinate activities across engineering, procurement, logistics, and vendors.
• Drive deployment from planning to testing, acceptance, and handover.
• Review designs for feasibility and alignment with NVIDIA reference architectures and customer specifications.
• Identify risks and manage issue resolution with stakeholders.

Description du poste

Technical Project Manager - AI Infrastructure & Data Center Deployment (North America)

Location: Singapore

Travel Requirement: Approximately 50% travel to North America, including extended onsite assignments

Employment Type: Full-time

About the Role

We are looking for a technically strong and delivery-oriented Technical Project Manager to lead AI infrastructure and data center deployment projects for major customers across North America.

This role combines technical project management, infrastructure deployment planning, customer engagement, and end-to-end delivery execution. You will coordinate cross-functional engineering teams, supply chain partners, and external vendors to ensure projects are delivered on schedule, within scope, and in accordance with technical specifications and quality standards.

The ideal candidate has hands-on experience in AI infrastructure, GPU server deployments, HPC environments, or data center infrastructure integration. You should be comfortable reviewing technical deployment plans, identifying delivery risks, and driving issue resolution without necessarily performing low-level GPU cluster tuning or hands-on infrastructure commissioning yourself.

Based in Singapore, you will spend approximately 50% of your working time traveling to or working onsite at customer locations in North America. The remaining time will primarily be spent in Singapore, with occasional travel to other APAC locations as required.

Key Responsibilities

1. 1. End-to-End Project Delivery

   Lead end-to-end delivery of AI infrastructure, GPU cluster, server deployment, and data center infrastructure projects across North America.

   Develop project plans, define milestones, track progress, and manage project scope, timelines, dependencies, risks, and deliverables.

   Coordinate deployment activities across engineering, procurement, logistics, supply chain, and external service providers to ensure timely and successful project completion.

   Drive project execution from planning and site readiness through deployment, testing, acceptance, and final handover.

2. 2. Customer Engagement & Stakeholder Management

   Serve as the primary project interface for North American customers, coordinating project requirements, technical discussions, progress updates, and delivery expectations.

   Manage customer communications and stakeholder expectations, proactively addressing delivery risks, escalations, and project changes.

   Build strong customer relationships and identify opportunities for infrastructure expansion, additional deployments, and follow-on projects.

   Work closely with sales and business development teams to support customer engagements and project planning.

3. 3. Technical Planning & Solution Review

   Review and validate infrastructure deployment plans to ensure technical feasibility, compliance with project requirements, and alignment with applicable NVIDIA reference architectures and customer specifications.

   Review rack layout designs, including rack configuration, power distribution, thermal considerations, load capacity, and serviceability requirements.

   Review network topology designs covering compute, storage, management, and out-of-band management networks.

   Review point-to-point (P2P) cabling plans, port mapping, fiber and copper connections, and AOC/MPO connectivity, including CUID-level documentation where applicable.

   Identify technical and implementation risks, coordinate design clarifications with engineering teams, and ensure that approved designs are properly translated into onsite deployment activities.

4. 4. Cross-Functional Coordination & Issue Resolution

   Coordinate internal engineering teams, suppliers, logistics partners, and onsite service teams to align resources, schedules, and delivery priorities.

   Resolve project execution issues involving equipment availability, shipment delays, site readiness, installation schedules, technical dependencies, and vendor coordination.

   Establish clear action plans, owners, and deadlines for critical issues, ensuring timely escalation and closure.

   Monitor project readiness and proactively develop contingency plans to minimize delivery disruption.

5. 5. Quality Assurance, Testing & Acceptance

   Oversee deployment progress, installation quality, testing activities, and customer acceptance processes.

   Review technical documentation, test results, commissioning records, and delivery reports to ensure compliance with contractual requirements and applicable industry standards.

   Track defects, non-conformities, and outstanding issues through resolution and formal closure.

   Ensure complete project documentation, handover records, and lessons learned are captured for future deployments.

6. 6. Pre-Sales & Project Cost Support

   Support pre-sales activities by clarifying technical requirements, reviewing deployment approaches, and providing project execution input.

   Collaborate with sales, engineering, procurement, and supply chain teams on project cost