Senior AI Infrastructure Engineer

About the role

Tencent Overseas IT's AI Compute Centre sits within Overseas IT and acts as the bridge between internal AI infrastructure demand and the external resources that deliver it. It covers the full lifecycle of AI infrastructure clusters, from requirement gathering and capacity planning through design, delivery, operations and DevOps, across regions worldwide. The Senior AI Infrastructure Engineer leads the cloud and edge-cloud infrastructure projects they are responsible for, turning business and technical requirements into deliverable plans, holding suppliers accountable and ensuring new capacity is handed over to operations.

Key responsibilities

• Translate demand into infrastructure requirements with AI business and platform teams, defining compute capacity, network bandwidth and latency, connectivity, data access, scalability, availability and operational needs, and convert them into supplier requirements, evaluation criteria, milestones and acceptance criteria.
• Lead network design and delivery reviews, covering data centre fabric, inter-data-centre and WAN connectivity, routing, IP planning, segmentation, resilience and expansion plans.
• Manage network providers and delivery dependencies, coordinating vendors, carriers, colocation partners and system integrators on circuits, cross-connects, cabling, configuration handoffs and fault escalation.
• Drive data centre readiness by coordinating rack space, power, cooling, physical access, cabling and carrier connectivity, and identifying site or network dependencies that could delay deployment.
• Own integration and acceptance governance, coordinating compute, network, storage and platform teams through installation, testing, remediation and sign-off, requiring evidence of connectivity, bandwidth, latency and failover.
• Maintain delivery plans, risks, decision logs and supplier trackers, and define handover documentation, monitoring expectations, incident escalation, change procedures and service review cadence.
• Communicate technical risks, design trade-offs, defects, capacity constraints and schedule impacts to engineering teams and business stakeholders.

Required profile

• Substantial experience in infrastructure architecture, network engineering, technical delivery or service management, typically 10+ years in relevant roles.
• Experience delivering or operating networks across data centres, cloud environments or multiple sites, including coordination with carriers, colocation providers and network equipment vendors.
• Experience with a data centre migration, site deployment, colocation delivery or similar infrastructure transition involving multiple technical teams and external providers.
• Demonstrated experience managing suppliers through design review, delivery milestones, acceptance, escalation and production handover.
• Ability to assess infrastructure proposals across compute, network, storage, availability and operational support, engaging specialists for detailed validation.
• Strong documentation and stakeholder communication skills.

Required skills

• Working knowledge of TCP/IP, L2/L3 networking, VLANs, routing protocols such as BGP and OSPF, and data centre network design principles.
• Ability to review network test plans and evidence and identify gaps in connectivity or failover.
• Nice to have: experience evaluating AI server capacity or large-scale compute platforms; Spine-Leaf/Clos fabrics, EVPN-VXLAN, ECMP, MLAG, InfiniBand, RoCE, RDMA, NCCL, high-density data centre deployments, supplier SLAs, commercial evaluation, cost optimisation, disaster recovery or service governance; relevant certifications.