[LPS] AI Data Center Infrastructure Engineer/ Manager
Lenovo
- Location
- Onsite (Hong Kong, Hong Kong Island)
- Employment
- Full-time
- Level
- Mid Level
Posted 2 days ago
About the role
Lenovo is a global technology powerhouse seeking an AI Data Center Infrastructure Engineer/Manager to lead the planning, design, and operation of mission-critical AI infrastructure projects. The role ensures system reliability, efficiency, and compliance while managing vendor relationships and cross-functional teams.
Skills
Data Center Infrastructure
Project Management
HVAC
Electrical Engineering
Mechanical Engineering
AI Infrastructure
Capacity Planning
Vendor Management
Commissioning
Risk Assessment
BMS
DCIM
Liquid Cooling
GPU Clusters
Budgeting
Stakeholder Management
Full job details
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
To find out more visit www.lenovo.com and read about the latest news via our StoryHub.
Description and Requirements
Job Duties:
• Lead the planning, design review, implementation, and operation of AI Data Center and Data Hall projects, ensuring the efficient and uninterrupted performance of critical infrastructure systems, including power, cooling, networking, and physical facilities.
• Support pre-sales and bid management activities by providing technical expertise, solution design, cost estimation, capacity planning, and proposal preparation for AI Data Center projects.
• Develop and implement operation and maintenance strategies to maximize system availability, reliability, and energy efficiency while minimizing downtime.
• Coordinate with internal engineering teams, contractors, consultants, and external vendors throughout the project lifecycle, from design to commissioning and handover.
• Manage and supervise contractors and technical personnel to ensure work quality, project schedule compliance, and adherence to technical specifications.
• Establish and execute preventive and corrective maintenance programs for critical infrastructure, including electrical, mechanical, cooling, and monitoring systems.
• Participate in data center design validation, site assessments, factory acceptance tests (FAT), site acceptance tests (SAT), commissioning, and integrated system testing.
• Manage vendor, supplier, and contractor relationships, ensuring delivery quality, project milestones, and contractual compliance.
• Serve as the technical liaison with customers, consultants, and project stakeholders, providing regular project updates and technical recommendations.
• Identify, assess, and mitigate project and operational risks, including the development and execution of safety procedures, business continuity measures, and emergency response plans.
• Ensure compliance with industry standards, regulatory requirements, and best practices for data center design, construction, and operations.
• Prepare project budgets, cost analyses, technical evaluations, and resource planning to support project delivery and bid submissions.
• Stay updated on emerging AI infrastructure technologies, including liquid cooling, high-density GPU deployments, edge AI facilities, and sustainable data center practices.
Qualifications:
To be considered for this position, you must demonstrate skills and experience in the following areas:
• Bachelor's Degree in Electrical Engineering, Mechanical Engineering, Building Services Engineering, Civil Engineering, Construction Management, Architecture, or related discipline.
• 3-5 years of hands-on experience in data center, data hall, mission-critical facility, or AI infrastructure projects, including design, construction, commissioning, operations, or maintenance.
• Proven experience supporting data center establishment, expansion, migration, or modernization projects.
• Experience in technical proposal preparation, tendering, bid response, or pre-sales support for infrastructure projects is highly desirable.
• Familiar in relevant fields (e.g., HVAC, electrical, mechanical).
• In-depth understanding of building systems such as HVAC, electrical, plumbing, and other utilities.
• Knowledge of industry standards and regulations (e.g. TIA-942, Uptime Institute Tier Standard and etc.)
• Knowledge of Building Management Systems (BMS), Data Center Infrastructure Management (DCIM), and Building Automation Systems (BAS).
• Understanding of high-density AI computing environments, including GPU clusters, AI supercomputing infrastructure, liquid cooling, and power optimization technologies.
• Strong knowledge of safety management, risk assessment, business continuity planning, and emergency response procedures.
• Understanding of emerging technologies and best practices in data center operations.
• Knowledge of safety protocols, risk management, and emergency response plans.
• Understanding of emerging technologies and best practices in data center operations.
• Strong project coordination and stakeholder management skills.
• Ability to lead cross-functional teams and collaborate effectively with consultants, contractors, vendors, and customers.
• Excellent problem-solving, analytical, and decision-making capabilities.
• Strong communication and presentation skills for customer-facing and executive-level interactions.
• Experience in budgeting, cost estimation, project financial management, and resource planning.
• Proficient in Microsoft Office applications, including Excel, PowerPoint, Word, and Project.
• Self-motivated with the ability to proactively identify risks, optimize designs, and drive continuous improvement across AI Data Center and Data Hall projects.
• Fluent in spoken Cantonese, with a good command of both English and Mandarin.
#LPS
Additional Locations:
* Hong Kong
General Information
Req #
100017872
Career area:
Information Technology
Country/Region:
Hong Kong
City:
Hong Kong
Date:
Friday, November 6, 2026
Additional Locations:
* Hong Kong