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Urgent! AI Project Manager Job Opening In Singapore, Singapore – Now Hiring Toss-Ex Pte Ltd

AI Project Manager



Job description

Job Summary


As a key member of the AI Services Division , the AI Infrastructure Project Manager will oversee the design and deployment of AI infrastructure projects.

This role is responsible for managing cross-functional teams and collaborating with external partners to ensure project delivery within defined cost, schedule, and quality parameters .

The ideal candidate will possess deep technical understanding of AI computing platforms—particularly the NVIDIA GPU ecosystem —combined with strong project management expertise.

Key Responsibilities


1.

Pre-Sales Technical Support

  • Lead the pre-sales solution design process for AI servers and related hardware systems.

  • Oversee Proof of Concept (POC) testing, performance optimization, and solution validation to ensure alignment with customers' business and technical objectives.

2.

Deployment Project Management


Manage end-to-end AI infrastructure deployment projects, ensuring seamless execution through:

  • Leading teams to perform design reviews and site surveys .

  • Overseeing point-to-point cabling plan development and validation.

  • Developing comprehensive project plans , including timelines, resource allocation, and risk mitigation strategies.

  • Conducting project kick-off meetings and coordinating with stakeholders across multiple levels.

  • Managing project budgets, schedules, risks, and issues to ensure successful delivery.

  • Driving clear communication across all project tiers—internal teams, customers, and partners.

  • Ensuring timely and quality project deliverables that meet agreed specifications.

3.

Maintenance and Support

  • Diagnose and resolve technical issues within AI infrastructure environments.

  • Implement corrective actions through hardware replacement , software upgrades , or appropriate workarounds .

  • Escalate issues to vendors or partners when advanced support is required.

Qualifications and Skills

  • Bachelor's degree or higher in Computer Science, Electronics, Communications, Information Engineering , or a related discipline.

  • Minimum 5 years of experience in IT systems integration or infrastructure project management .

  • Strong familiarity with server hardware architectures (CPU/GPU, memory, storage, and networking).

  • In-depth understanding of computing platforms such as NVIDIA, Intel, and AMD .

  • Hands-on experience managing or contributing to large-scale NVIDIA AI infrastructure deployments , including any of B200, GB200, or GB300 .

  • Excellent leadership, problem-solving, and stakeholder management skills.

  • Strong teamwork orientation, adaptability, and customer-focused mindset.

  • Proficiency in English, with the ability to read technical documents and conduct professional communications.

  • Project management certification such as PMP , PRINCE2 , or an equivalent is required.


Required Skill Profession

Other General



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