Solution Manager - Global Tech (HPC & AI Infrastructure | 5-8m Bonus | Perm)

ADECCO Personnel Limited; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

ADECCO Personnel Limited is supporting a global technology leader in Hong Kong to recruit a Solution Manager for Global Tech (HPC & AI Infrastructure). You will own the full lifecycle product strategy for AI compute, GPUs, servers, and networking, aligning with AI and hybrid cloud directions.

Collaborate with engineering delivery teams and sales stakeholders to drive architecture and strategy. Role emphasizes building AI hardware/software expertise, advising on deployment approaches, helping

Qualifications

• Bachelor’s degree or higher in Telecommunications, Information Systems Management, Electrical Engineering, or a closely related field.
• At least 5 years of experience in infrastructure design/architecture, with exposure to HPC and AI computing center design or deployment.
• Strong command of high-performance computing, distributed systems, cloud computing, and AI/ML software frameworks.
• Familiarity with CPU/GPU/AI accelerators, HPC environments, and distributed computing platforms.
• Excellent stakeholder communication, customer-facing skills, and project management experience.

Responsibilities

• Own the full lifecycle product strategy and execution for the AI compute portfolio.
• Partner with cross-functional teams to plan and build AI computing infrastructure and HPC platforms.
• Translate customer needs into engineering designs to improve runtime performance, scalability, and cost efficiency.
• Monitor emerging AI and HPC developments and apply them to solution architecture.
• Support engineering and delivery teams during implementation to ensure smooth rollout and reliable operation.
• Create technical assets such as internal documentation, publications, and patentable innovations.
• Coach and guide less-experienced team members through training and knowledge sharing.

Skills

AI computing

HPC architecture

GPU platforms

AI software stack

Hybrid cloud

Cloud-native deployment

AI/ML frameworks

CPU/GPU accelerators

Education

Bachelor's degree in Telecommunications or related field

Job description

Solution Manager - Global Tech (HPC & AI Infrastructure | 5-8m Bonus | Perm)

Our client is a global technology leader building a fully connected, intelligent world—driven by strong R&D and innovation in Cloud, AI, and more across 100+ countries.

About the role

Own the full lifecycle product strategy and execution for the AI compute portfolio—GPUs, servers, and networking—so it fits with the overall AI and hybrid cloud direction. Build deep expertise across AI hardware (including GPU/accelerator platforms), AI software stack, and hybrid cloud / cloud-native deployment approaches; act as a liaison between engineering delivery teams and sales stakeholders.

Role & Responsibilities

Partner with cross-functional teams to plan and build AI computing infrastructure and HPC platforms that align with the changing requirements of the customers.

Review and interpret customer/partner needs, then convert them into engineering designs that improve runtime performance, scalability, and overall cost efficiency.

Monitor and evaluate emerging developments in AI and HPC and apply relevant advancements to solution architecture.

Advise and support engineering and delivery teams during implementation to ensure smooth rollout and reliable operation of deployed solutions.

Help generate technical assets such as internal documentation, publications, and patentable innovations within your specialization.

Guide and develop less-experienced team members through coaching, training, and knowledge-sharing.

Qualifications

Bachelor’s degree or higher in Telecommunications, Information Systems Management, Electrical Engineering, or a closely related field.

At least 5 years of experience in infrastructure design/architecture, with solid exposure to HPC and/or AI computing center design, advisory work, and/or deployment.

Strong command of topics including high-performance computing, distributed systems, cloud computing, and AI/ML software frameworks.

Working familiarity with computing-power technologies such as CPU/GPU/AI accelerators, HPC environments, and distributed computing platforms.

Excellent stakeholder communication and customer-facing skills, along with strong troubleshooting ability and project management experience.