Senior AI Infrastructure Deployment Lead (SEA)

allegis group singapore private limited

Singapore

On-site

SGD 180,000 - 240,000

Full time

8 days ago
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Job summary

Allegis Group Singapore Pte Ltd is seeking an experienced Senior Technical Program Manager to lead the deployment of large-scale AI infrastructure and GPU clusters across Southeast Asia. You will serve as the on-site deployment lead, coordinating from equipment delivery through commissioning and customer handover, with extensive SEA travel.

The role requires deep datacenter deployment expertise, strong project leadership, and the ability to drive execution across multiple stakeholders in

Qualifications

  • 10+ years of experience in datacenter infrastructure environments.
  • Proven experience leading large-scale datacenter deployment programs.
  • Experience managing onsite deployment teams and coordinating multiple stakeholders.
  • Strong understanding of deployment lifecycle and infrastructure readiness.
  • Familiarity with AI infrastructure and high-density compute environments is desirable.

Responsibilities

  • Lead the deployment of GPU-based AI infrastructure within hyperscale datacenters.
  • Manage activities from rack delivery to commissioning and handoff.
  • Ensure site readiness and coordinate across operations teams, vendors and logistics.
  • Provide regular updates and executive-level deployment reports.
  • Drive cross-functional alignment to ensure successful project delivery.

Skills

Datacenter deployment
Project leadership
Stakeholder management
Travel SEA

Job description

Allegis Group Singapore Pte Ltd is seeking an experienced Senior Technical Program Manager to lead the deployment of large-scale AI infrastructure and GPU clusters across Southeast Asia. You will serve as the on-site deployment lead, coordinating from equipment delivery through commissioning and customer handover, with extensive SEA travel.

The role requires deep datacenter deployment expertise, strong project leadership, and the ability to drive execution across multiple stakeholders in

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