Key responsibilities :-

- Client requirement discovery: lead workshops with client CIO/CTO and infrastructure teams to capture workloads, density profiles, power and cooling needs, network, interconnection and sovereignty requirements, and growth phasing

- HPC/AI solution design: architect end-to-end solutions for AI training and inference environments

- GPU compute cluster sizing and topology, storage throughput, and high-performance network fabrics mapped onto colocation space, power and cooling.

- Colocation engineering design: develop space and rack layouts, power topologies (N / N+1 / 2N), and cooling strategies including rear-door heat exchangers and direct-to-chip liquid cooling for 30–130 kW racks.– GPU & InfiniBand architecture: define rack-scale and pod-scale designs for NVIDIA HGX/DGX-class systems, including InfiniBand and RoCE fabric topologies (rail-optimised, fat-tree), cable plant planning and density zoning.

- Proposals & RFPs: author solution documents, BOMs, technical proposals and RFP/RFI responses; present and defend designs to client executive and engineering audiences.

- Techno-commercial support: partner with the commercial team on capacity pricing, fit-out scope splits (shell / powered shell / fully fitted), phasing and SLAs.

- Build alignment: work with the DC Infrastructure arm to ensure designs are buildable, costed and aligned to campus master plans.

- Strategic support: lead technical due diligence for anchor tenants and JV partners; mentor junior solution architects and build the solution engineering playbook.

Essential qualifications &

experience (must-have

)





- 10–15 years in data centre solution architecture, pre-sales engineering or design consulting, with a minimum of 3 years dedicated to HPC/AI solution design – designing, dimensioning and deploying GPU compute environments for AI training and inference workloads.

- Hands-on GPU and InfiniBand experience: NVIDIA HGX/DGX-class cluster architecture, InfiniBand (NDR/HDR) and RoCE fabric design, NVLink/NVSwitch awareness, and the facility implications ofdense GPU deployment (power, heat rejection, cabling).

- NVIDIA Certified Qualified (NCP) architecture certification – e.g. NCP AI Infrastructure (NCP-AII) and/or NCP InfiniBand (NCP-IB); equivalent NVIDIA data centre architecture credentials considered with certification expected within the first six months.

- Deep colocation solutioning expertise: MV/LV power distribution, UPS and redundancy topologies (N / N+1 / 2N), chilled water, DX, rear-door heat exchanger and direct-to-chip liquid cooling systems, space planning and rack layout.– Proven client-facing record: requirement discovery workshops, solution documents and BOMs, executive presentations, and RFP/RFI leadership.

- Working knowledge of Uptime Institute Tier standards, TIA-942 and ASHRAE thermal guidelines, plus the Indian power and regulatory context (power procurement, open access, DISCOM engagement).

- Ability to build techno-commercial models with the revenue team: capacity pricing, phasing and fit-out scope.– Bachelor’s degree in Electrical, Mechanical, Electronics or related engineering discipline.

📌 Senior - Solution Architect (Navi Mumbai)
🏢 RMZ
📍 Navi Mumbai