Project Engineer (AI Infrastructure & Data Centre Solutions)

Key Responsibilities

Support deployment and implementation of AI infrastructure projects.
Coordinate technical activities between customers, distributors, vendors, and engineering teams.
Assist in designing AI computing solutions involving GPU servers, storage, networking, and cooling systems.
Participate in customer meetings and technical discussions.
Prepare technical proposals, system architecture diagrams, and deployment documentation.
Manage project schedules, milestones, and technical deliverables.
Coordinate factory acceptance tests (FAT) and site acceptance tests (SAT).
Support installation, commissioning, troubleshooting, and maintenance activities.
Work with global technology partners and OEM manufacturers.
Ensure compliance with customer requirements and industry standards.
Provide post-deployment technical support and project follow-up.

Requirements

Diploma or Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
2–5 years of relevant experience in:
Data Centres
IT Infrastructure
System Integration
Network Engineering
Industrial Automation
Critical Infrastructure
Understanding of server hardware, networking, storage, and power systems.
Familiarity with data centre environments and infrastructure requirements.
Experience managing technical projects is preferred.
Ability to read technical drawings and architecture diagrams.
Strong problem-solving and communication skills.
Willingness to travel regionally when required.

Preferred Qualifications

Knowledge of NVIDIA GPU platforms.
Experience with HPC or AI infrastructure.
Understanding of liquid cooling or immersion cooling technologies.
Familiarity with Schneider Electric, Vertiv, Eaton, Dell, Supermicro, Lenovo, HPE, or similar ecosystems.
Basic understanding of cybersecurity and data sovereignty requirements.
PMP, CDCP, CDCS, CCNA, or relevant certifications would be advantageous.

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