Director/Senior Manager of AI Infrastructure (REF#DAISM20260921)

Key Responsibilities

• Report to the Chief Technology Officer.

• Provide strategic leadership for the architecture, governance, operation and evolution of Cyberport's AI infrastructure and supercomputing platforms.

• Lead the delivery and optimisation of CPU/GPU computing clusters, high-performance networking, storage and AI platform technologies, while driving availability, performance, security, resilience and scalability to support current and future AI innovation initiatives.

• Develop and maintain technical policies, standards, procedures and service management practices for Cyberport’s AI infrastructure and supercomputing platforms, ensuring secure, reliable and resilient operations and services.

• Collaborate with hardware vendors, software providers, cloud service providers, data centre operators and managed service partners to ensure high-quality service delivery, platform performance, capacity planning and lifecycle management.

• Manage infrastructure outsourcing services and related contractual arrangements, including service-level performance, compliance, risk management, quality assurance and continuous service improvement.

• Evaluate emerging AI infrastructure technologies, including GPU platforms, high-performance network fabrics, storage architecture, container platforms, workload schedulers, model deployment platforms and inference infrastructure.

• Work closely with subject matter experts, research users, enterprise customers, ecosystem partners and internal stakeholders to understand AI, LLM, generative AI and data-intensive workload requirements.

• Provide technical guidance and support to users and internal teams on effective and secure use of AI supercomputing systems, including platform onboarding, usage optimisation and troubleshooting.

• Support infrastructure risk assessments, control reviews, compliance assessments and remediation activities to ensure the security, availability and resilience of AI supercomputing services.

• Monitor and analyse infrastructure events, alerts, capacity trends and service performance indicators, and coordinate timely response to infrastructure incidents, risks and service issues.

• Prepare management reports, service dashboards, key metrics and improvement plans covering platform availability, utilisation, performance, incidents, risks, capacity and service quality.

• Keep abreast of the latest developments in AI infrastructure, GPU computing, high-performance computing, cloud-native platforms, LLM operations and related industry trends to support future technology strategy and adoption.

Requirements

• Minimum 12 to 15 years of relevant experience in IT infrastructure, AI infrastructure, high-performance computing, GPU computing, cloud infrastructure or large-scale enterprise technology platforms, with proven leadership experience in managing technical teams, vendors and mission-critical infrastructure services.

• Bachelor’s degree or above in Computer Engineering, Computer Science, Information and Communications Technology, Artificial Intelligence, Data Science, Software Engineering, Electronic Engineering or a related discipline.

• A postgraduate degree or relevant professional certification in AI infrastructure, cloud computing, high-performance computing, cybersecurity or enterprise architecture would be an advantage.

• Solid experience in AI infrastructure, high-performance computing, GPU computing, cloud infrastructure or large-scale enterprise technology platforms.

• Strong technical knowledge of CPU/GPU cluster management, workload scheduling, AI software stack, AI operations platforms, distributed GPU computing, multi-node AI training and high-performance networking.

• Sound technical knowledge of LLM, token and agentic AI infrastructure, model deployment, inference services, AI workload optimization, MLOps, LLMOps practices.

• Strong working knowledge of enterprise networking, storage, cybersecurity, monitoring, backup, disaster recovery, capacity management and operational resilience.

• Practical experience with Kubernetes, container platforms, infrastructure automation and cloud-native operating models.

• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Caffe or equivalent frameworks.

• Understanding programming and scripting languages such as Python, Java, C++, R, CUDA or equivalent technologies for AI and infrastructure automation use cases.

• Experience in managing large-scale and mission-critical infrastructure projects, production platforms, outsourcing services, service delivery governance, incident management, capacity planning and technology lifecycle management.

• Strong analytical, troubleshooting and problem-solving capabilities, with the ability to address complex performance, scalability, availability and integration challenges.

• Ability to operate effectively in a fast-paced and rapidly evolving technology environments.

• Strong communication, stakeholder management and collaboration skills, with the ability to work effectively with technical teams, business users, vendors, partners and subject matter experts.

• Good command of written and spoken English and Chinese.

• Strong interest in AI infrastructure, AI supercomputing, emerging technologies and practical innovation.

Candidates with less experience may be considered for the Senior Manager position.

We offer competitive package to the right candidate. Interested party please click "Apply Now" to apply on or before 20 Oct 2026 in confidence with full resume, stating present and expected salary, and available date and quote the reference.

Applicants who do not hear from us by 30 October 2026 may assume that their applications are unsuccessful.

Further information about the Cyberport is available at https://cyberport.hk/

Personal data collected will be treated in the strictest confidence and only be used for recruitment-related purpose.