AI Infrastructure Project Engineer

Responsibilities Support the deployment and implementation of AI infrastructure and data centre projects. Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams. Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure. Participate in customer meetings, technical discussions, and project planning activities. Prepare technical proposals, system architecture designs, deployment plans, and project documentation. Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution. Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT). Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions. Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration. Ensure compliance with customer requirements, industry standards, and project specifications. Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction. Requirement Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines. Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure. Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure. Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage. Require to travel locally and overseas when required. To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion. Your interest will be treated with the strictest of confidence. We regret that only shortlisted can…