AI Solutions Architect - Central Region

Job Description

World Wide Technology in Kansas City, Missouri, United States.

Enterprise AI Strategy & GTM Execution Team

The team leads the company’s go-to-market motion across the full AI solution stack – from infrastructure and platforms to consulting, advisory, and managed services. It bridges WWT’s enterprise AI capabilities with the customers who need them most.

What You Will Be Doing

The AI Solutions Architect is a technical pre‑sales partner within each regional AI POD. This role brings hands‑on architectural expertise to customer engagements during the pre‑sales phase, translating business requirements into concrete AI solution designs, reference architectures, and technical proposals that give WWT credibility and differentiation in competitive pursuits.

Responsibilities

Technical Pre‑Sales & Solution Design

• 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.

ATC & Proof‑of‑Concept Coordination

• 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.

NVIDIA & Partner Technical Alignment

• 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, NetApp, Pure Storage, Vast Data) on hybrid and multi‑cloud AI architecture design.

Pre‑Sales to Delivery Handoff

• 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.

POD & Cross‑Functional Collaboration

• 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.

Qualifications

• 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; ability 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, field account teams, and partner SE resources.
• Bachelor’s degree in computer science, engineering, or related field required.

Preferred Qualifications

• NVIDIA‑certified or equivalent AI/ML platform certifications.
• Cloud architecture certifications (AWS SA Pro, Azure Solutions Architect, GCP PCA).
• Prior experience working at a top‑tier solutions provider, related OEM, or cloud provider.

Regional travel up to 40%.

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $185,000.00 to $235,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geograp