Sr. AI infra engineer

Tencent Overseas IT has the mission to empower Tencent's rapid global growth with future ready, global IT platforms, applications and services. We are chartered to lead the Overseas IT strategy, architecture, roadmap and execution. Satisfying our internal/external customers and becoming a world class global IT team are our top aspirations.

About the Team The AI Compute Centre sits within Tencent's Overseas IT department, acting as the bridge between internal AI infrastructure demand and the external resources that fulfil it. We play key roles in the full lifecycle of AI infrastructure clusters — from requirement gathering and capacity planning, through architectural design and development, to delivery, operations, and Dev Ops — across regions worldwide.

You will lead the cloud/edge cloud infrastructure projects you are responsible for delivering. Your focus is to turn business and technical requirements into deliverable plans, hold suppliers accountable, coordinate data centre readiness, and ensure that new capacity is accepted and handed over to operations with clear ownership. This is a cross-functional role. You will work with specialist engineers on compute, networking, storage, facilities, and security decisions;

you are not expected to personally configure every system or run every benchmark. You should, however, be able to challenge assumptions, identify gaps between vendor commitments and delivered outcomes, and drive issues to resolution.

• Translate demand into infrastructure requirements. Work with AI business and platform teams to define compute capacity, network bandwidth and latency, connectivity, data access, scalability, availability, and operational needs. Convert these into supplier requirements, evaluation criteria, delivery milestones, and acceptance criteria.
• Lead network design and delivery reviews. Review data centre fabric, inter-data-centre and WAN connectivity, routing, IP planning, network segmentation, resilience, and expansion plans with internal architects and suppliers. Ensure designs address both AI workload requirements and day-to-day operability.
• Manage network providers and delivery dependencies. Coordinate network equipment vendors, carriers, colocation partners, and system integrators on circuits, cross-connects, cabling, configuration handoffs, implementation windows, and fault escalation. Track responsibilities and resolve gaps between suppliers.
• Drive data centre readiness. Coordinate rack space, power, cooling, physical access, cabling, carrier connectivity, and installation prerequisites. Identify site or network dependencies that could delay cluster deployment.
• Own integration and acceptance governance. Coordinate compute, network, storage, and platform teams through installation, integration, testing, remediation, and sign-off. Require evidence for connectivity, bandwidth, latency, failover, and agreed cluster-level outcomes—not just confirmation that equipment has been installed.
• Manage delivery and service accountability. Maintain integrated plans, risks, decision logs, and supplier action trackers. Define handover documentation, monitoring expectations, incident escalation, change procedures, support boundaries, and service review cadence.
• Communicate technical risks clearly. Explain design trade-offs, unresolved defects, capacity constraints, and schedule impacts to both engineering teams and business stakeholders.

• Substantial experience in infrastructure architecture, network engineering, technical delivery, or service management, typically 10+ years in relevant roles.
• Strong data centre or enterprise networking experience, with the ability to…