Job Title:  T&T | EAD | CMS | Senior Consultant/Manager | AI Data Center Design Expert | Pan India

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage.

Job Description:

Experience – 6-15 years and 3+ years of relevant experience

Location – Pan India

Education : Any Graduation, B.Tech/B.E, MBA, MCA, BCA

Role Overview

We are looking for an experienced AI Data Center Design Expert with deep expertise in designing and implementing high-performance, GPU-driven data centers. The candidate will be responsible for architecting scalable, high-throughput AI infrastructure integrating InfiniBand, Ethernet fabrics, GPU clusters, and cloud-native platforms.

Key Responsibilities

• Design and implement AI-focused Data Center (DC) architectures aligned with Tier II / Tier III standards
• Architect and deploy InfiniBand and NVIDIA Spectrum Ethernet fabrics for AI workloads
• Lead GPU cluster design, sizing, and implementation for AI/ML use cases
• Perform GPU capacity planning and requirement estimation based on workload profiling
• Implement and manage NVIDIA UFM (Unified Fabric Manager) and NetQ for monitoring and fabric visibility
• Configure and optimize NetQ telemetry, validation, and troubleshooting workflows
• Design and implement EVPN-VXLAN based overlay networks
• Configure and optimize BGP-based underlay with ECMP for high availability and scalability
• Perform VXLAN fabric design for multi-tenant AI workloads
• Lead Cumulus Linux-based network deployments and automation
• Implement and manage VMware Tanzu-based container platforms for AI workloads
• Deploy and integrate RUN:AI and Slurm workload schedulers for GPU orchestration
• Ensure seamless integration of AI Data Center with existing enterprise DC environments
• Optimize network latency, throughput, and congestion control for AI workloads
• Drive performance benchmarking, tuning, and capacity planning for AI infrastructure
• Support design validation, POCs, and production rollouts

Technical Skills Required

Networking & Fabric

• Strong expertise in InfiniBand (HDR/NDR), RoCE, and Ethernet fabrics
• Hands-on with NVIDIA Spectrum switches
• Deep knowledge of EVPN-VXLAN, BGP, ECMP, Spine-Leaf architecture
• Experience with Cumulus Linux

AI Infrastructure

• GPU cluster design (NVIDIA H100/H200/B200/B300/DGX /AI Factory etc)
• Understanding of MIG (Multi-Instance GPU), GPU virtualization
• AI workload characteristics (training vs inference)

Orchestration & Platforms

• Experience with RUN:AI, Slurm workload manager
• Kubernetes ecosystem, preferably VMware Tanzu
• Container networking for AI workloads

Monitoring & Management

• NVIDIA UFM (Unified Fabric Manager)
• NetQ for fabric telemetry and troubleshooting
• Exposure to DC observability tools

Systems & Integration

• Integration of AI DC with existing enterprise DC / hybrid cloud
• Understanding of storage systems (parallel file systems like Lustre, GPFS – good to have)

Qualifications

• Bachelor’s/master’s in computer science, Engineering, or related field
• Relevant certifications in networking, cloud, or NVIDIA ecosystem (preferred)

Key Competencies

• Strong architectural thinking and problem-solving skills
• Ability to handle end-to-end design to implementation ownership
• Excellent communication and stakeholder management
• Experience working in large-scale enterprise or hyperscale environments

How you’ll grow

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