AI Solutions Architect - Central Region

Enterprise AI Strategy & GTM Execution Team

WWT’s Enterprise AI Strategy & GTM Execution team is at the center of WWT’s AI transformation, responsible for leading the company’s go‑to‑market motion across the full AI solution stack — from infrastructure and platforms to consulting, advisory, and managed services.

The AI Solutions Architect is the technical pre‑sales partner within each regional AI POD, translating customer business requirements into concrete AI solution designs, reference architectures, and technical proposals that give WWT credibility and differentiation in competitive pursuits. The role demands the ability to whiteboard an end‑to‑end AI architecture in a customer meeting, coordinate proof‑of‑concept engagements through WWT’s Advanced Technology Center (ATC), and ensure that what is sold can be built, scoped accurately, and transitioned cleanly to delivery teams.

• Serve as the technical counterpart to the AI Solutions Executive in all customer‑facing engagements.
• Translate customer business problems into AI solution architectures spanning GPU/compute, data platforms, AI/ML frameworks, networking, storage, and application layers.
• Lead technical discovery sessions with customer engineering and data science teams, and produce reference architectures, BoMs, sizing models, and POC plans that drive decision‑making and inform commercial proposals.

• Partner with WWT's Advanced Technology Center to design and execute lab environments, benchmarks, and customer immersion sessions that validate proposed AI architectures.
• Lead technical execution of ATC engagements end‑to‑end and position lab‑led validation as a competitive differentiator that de‑risks customer commitment.

• Maintain deep technical currency across the NVIDIA ecosystem (DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse) and work directly with NVIDIA resources on GPU design validation, NVAIE integration, and configuration optimization.
• Collaborate with hyperscaler and infrastructure partner teams (AWS, Azure, GCP, Dell, HPE, Cisco, Net App, Pure Storage, Vast Data) on hybrid and multi‑cloud AI architecture design.

• Ensure proposed architectures are technically feasible, accurately scoped, and clearly documented for a clean transition to services and engineering teams.
• Participate in SOW validation alongside the AI Services Consultant and provide ongoing technical consultation to delivery teams during complex implementations as needed.

• Function as an integrated member of the three‑person regional POD (AI Solutions Executive, AI Solutions Architect, AI Services Consultant), contributing to joint pipeline reviews, account planning, and weekly cadence.
• Embed with field sales teams to surface AI opportunities and build their confidence through technical training, architecture overviews, and lunch‑and‑learn sessions.
• Contribute competitive intelligence and customer adoption insights back to the broader AI practice.

• Minimum 10 years in technical pre‑sales, solutions architecture, or advanced engineering roles at a solutions provider, OEM, cloud provider, or consulting firm.
• Hands‑on experience designing AI/ML infrastructure and platforms. Must be able to whiteboard an end‑to‑end AI architecture from GPU cluster design through networking, storage, software stack, MLOps pipeline, and inference deployment.
• Working knowledge of NVIDIA DGX/HGX systems, CUDA, AI Enterprise software suite, and partner integration patterns.
• Experience with AI workloads across on‑premises, cloud (AWS, Azure, GCP), and hybrid environments. Understanding of NCP models, GPU‑as‑a‑service, and sovereign AI infrastructure.
• Exceptional ability to translate technical complexity into business‑relevant narratives. Strong presentation and whiteboarding skills.
• Comfortable operating in a revenue‑generating, pre‑sales context. Understands that the purpose of technical engagement is to advance deals.
• Experience collaborating in co‑selling models with sales specialists,…