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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/HPC Consultant - London - £837.26 Per Day Umbrella - **Company:** Click - **Location:** London, UK - **Salary:** £217,688.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Border Gateway Protocol, Network Congestion, Data Centers, Software Design Patterns, Ethernet, InfiniBand, Network Segmentation, Overlay Transport Virtualization, AI Infrastructure, High Performance Computing, Computer Network Technologies, Juniper, Cisco - **Published:** August 5, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-3899D43334B7ED3F94/ ## About the Role NVIDIA certifications or demonstrable equivalent experience in AI infrastructure, networking or data centre technologies. - Cisco CCNP/CCIE, NVIDIA Networking, HPE, Aruba, Juniper, Arista or other relevant data centre networking certifications. - Experience in professional services, consultancy, pre-sales architecture or customer-facing technical design roles. - Experience with high-performance storage platforms used in AI/HPC environments. - Familiarity with automation, monitoring, observability or infrastructure-as-code tooling used to deploy and operate data centre fabrics. Essential experience and skills - Strong networking background with demonstrable experience in data centre, HPC, AI infrastructure or large-scale low-latency fabric design. - Excellent knowledge of high-performance AI/HPC networking technologies, including InfiniBand, RoCEv2, Spectrum-X Ethernet, congestion control concepts and lossless Ethernet design principles. - Strong understanding of VXLAN EVPN, BGP, leaf-spine fabric design, routing design, resiliency models and operational troubleshooting in modern data centre networks. - Good understanding of physical infrastructure design, including switch placement, row-level design, structured cabling, patching strategy, fibre polarity, cable routing and data centre implementation constraints. - Practical knowledge of optical and copper connectivity choices, including MMF, SMF, DAC, ACC/AEC, breakout cables, MPO/MTP, LC, QSFP, QSFP112, OSFP and QSFP-DD form factors. - Ability to interpret and validate NVIDIA reference architectures and translate them into customer-specific designs and commercially accurate Bills of Material. - Strong written communication skills, including the ability to produce clear HLDs, LLDs, design notes, BoM justifications and customer-facing technical explanations. - Confident stakeholder engagement skills, including working with customers, partners, vendors and internal delivery teams. - Analytical mindset with the ability to spot design risks, interoperability issues, unnecessary cost, unavailable components or avoidable cabling complexity. Technical capabilities - NVIDIA AI/HPC platforms - GB300, B300, DGX, HGX, NVL72, GPU node connectivity, ConnectX, BlueField/SuperNIC concepts and NVIDIA reference architecture interpretations - InfiniBand Back End fabrics - NDR/XDR/HDR concepts, rail-optimised design, spine/leaf sizing, congestion and resiliency considerations, and Quantum-class switching such as QM3400. - Spectrum-X Ethernet - Spectrum-X Front End and Back End use cases, RoCEv2, multi-plane designs, Spectrum switching such as SN5610, Ethernet optics and cabling patterns. - Data centre networking - Leaf-spine design, VXLAN EVPN, BGP, resilient routing, underlay/overlay separation, management, storage and in-band/out-of-band network segmentation. - Optics and cabling - MMF versus SMF, DR4/FR4/LR4, SR4, DAC/ACC/AEC, breakout/splitter assemblies, MPO-12/APC, LC duplex, reach limits, form factors and compatibility risks. - BoM optimisation - Ability to identify practical cost, availability and implementation improvements without compromising performance, supportability or reference architecture alignment. Essential - Physical infrastructure - Rack/row placement, switch placement, cable length planning, patching, cooling impact, power density and layout considerations for high-density AI clusters. Strongly preferred - Liquid cooling - Awareness of direct liquid cooling, in-row versus in-rack CDU options, operational constraints and how cooling decisions affect rack layout and networking design. Desirable - Storage and management integration - Understanding of high-speed storage connectivity, management fabrics, OOB networks and how they integrate with AI infrastructure designs. ## Description We are recruiting for a AI/HPC Consultant for a leading IT service provider based in London. The AI/HPC Consultant will support the definition, design and validation of advanced AI infrastructure solutions based on NVIDIA reference architectures. The role is heavily focused on high-performance networking and physical connectivity design across GPU-accelerated platforms, with regular involvement in bill-of-materials reviews, design assurance and customer-facing technical guidance. Typical activities - Validate NVIDIA reference architecture choices against customer scale, rack layout, cabling distances, data centre constraints and growth expectations. - Review proposed switch, optic and cable selections to confirm correct speed, form factor, reach, fibre type, connector type and supported use case. - Compare design options such as InfiniBand versus Spectrum-X Ethernet Back End, MMF versus SMF, DAC versus optical and centralised versus distributed switch placement. - Produce clear diagrams, port maps, cable matrices, BoM annotations and design assumptions to support sales, delivery and customer review. - Engage with NVIDIA and OEM partners to validate emerging design patterns, component availability and product-specific constraints. - Support handover into delivery, including explanation of design decisions, known constraints, dependencies, risks and operational considerations. ## Related Videos - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Your Next AI Needs 10,000 GPUs. 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