Dimension Data

2 weeks ago

Senior Principal AI Infrastructure Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead the end-to-end architecture of complex AI infrastructure solutions for enterprise, sovereign AI, and AI Factory clients. Own designs spanning accelerated compute, CPU host platforms, high-throughput AI storage, and AI network fabrics, while validating GPU clusters against real training and inference workloads. Drive presales and bid defenses, translate AI outcomes into hardware/platform roadmaps, and integrate compute, storage, networking, AI software stacks, and managed-service operating models.

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Lead end-to-end design of large AI infrastructure solutions across accelerated compute, CPU host platforms, AI storage tiers, and AI fabrics for enterprise and AI Factory clients.
•Validate and size GPU clusters against real workloads including foundation-model pre-training, distributed fine-tuning, RAG, and real-time/batch inference.
•Define supporting datacenter designs covering power density, liquid cooling approaches, and modular deployment models across on-prem, colo, and sovereign-cloud footprints.
•Integrate compute, storage, networking, AI software stacks, and managed-service operating models across multiple domains and delivery units.
•Drive presales activities for AI infrastructure pursuits, including discovery, technical workshops, proposal writing, executive presentations, and bid defense.

Key Requirements

•Significant experience in a consulting, presales, or architecture role delivering large-scale technology services, with a track record leading AI infrastructure pursuits.
•Design and deliver production AI platforms from multi-GPU servers to multi-rack training clusters and inference factories.
•Deep expertise across AI hardware and partner ecosystems (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp).
•Translate AI workload requirements into accurate hardware bills of materials, sizing justifications, and cost models (e.g., cost per token, GPU-hour economics).
•Strong client engagement and business development experience on infrastructure-led deals, including sovereign AI/AI Factory or regulated GenAI programs.

Experience:Technology servicesConsultingPresalesAI infrastructureManaged servicesSovereign AIGenAI

Education:Bachelor's

Skills:CommunicationSystems thinkingStrategic thinkingBusiness financial analysisClient engagementLeadership

Certifications:NVIDIA-Certified AssociateNVIDIA-Certified ProfessionalDell Technologies AI FactoryCiscoNutanixHPE accelerated computeRed Hat OpenShift AIRun:aiStorage certificationsNetworking certificationsScaled Agile

Tech Stack:NVIDIA H100NVIDIA H200NVIDIA B200GB200 NVL72AMD Instinct MI300XAMD Instinct MI325XIntel Gaudi 3Intel XeonAMD EPYCNVIDIA GraceNVIDIA DGXNVIDIA HGXNVIDIA DGX/HGX SuperPODDell AI FactoryCisco Nexus HyperFabric AIHPE accelerated computeLenovo accelerated computeSupermicro accelerated computeNVLinkNVSwitch

Company Brief

Dimension Data

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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Dimension Data

2 weeks ago

Senior Principal AI Infrastructure Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Lead end-to-end design of large AI infrastructure solutions across accelerated compute, CPU host platforms, AI storage tiers, and AI fabrics for enterprise and AI Factory clients.
•Validate and size GPU clusters against real workloads including foundation-model pre-training, distributed fine-tuning, RAG, and real-time/batch inference.
•Define supporting datacenter designs covering power density, liquid cooling approaches, and modular deployment models across on-prem, colo, and sovereign-cloud footprints.
•Integrate compute, storage, networking, AI software stacks, and managed-service operating models across multiple domains and delivery units.
•Drive presales activities for AI infrastructure pursuits, including discovery, technical workshops, proposal writing, executive presentations, and bid defense.

Key Requirements

•Significant experience in a consulting, presales, or architecture role delivering large-scale technology services, with a track record leading AI infrastructure pursuits.
•Design and deliver production AI platforms from multi-GPU servers to multi-rack training clusters and inference factories.
•Deep expertise across AI hardware and partner ecosystems (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp).
•Translate AI workload requirements into accurate hardware bills of materials, sizing justifications, and cost models (e.g., cost per token, GPU-hour economics).
•Strong client engagement and business development experience on infrastructure-led deals, including sovereign AI/AI Factory or regulated GenAI programs.

Experience:Technology servicesConsultingPresalesAI infrastructureManaged servicesSovereign AIGenAI

Education:Bachelor's

Skills:CommunicationSystems thinkingStrategic thinkingBusiness financial analysisClient engagementLeadership

Company Brief

Dimension Data

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn