Enterprise AI Solutions Architect (Central Region)

World Wide Technology; Detroit (MI); On-site; USD 185,000 - 235,000; Full time

Benefits offered by this job

Health & Wellness

401k with match

Paid Time Off

Job summary

World Wide Technology (WWT) is seeking an AI Solutions Architect to lead technical pre-sales for enterprise AI initiatives. You will translate customer requirements into end-to-end AI architectures, reference designs, and compelling proposals to win deals.

This role collaborates with AI executives, services consultants, and partner teams, including NVIDIA and hyperscalers, to ensure architectures are feasible, scalable, and handoff-ready for delivery.

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. 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.

Responsibilities

• 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.

Skills

AI/ML architecture

Pre-sales experience

NVIDIA DGX/HGX

CUDA

Communication

Education

Bachelor's degree in computer science, engineering, or related field

Tools

NVIDIA DGX/HGX

CUDA

AI Enterprise

Job description

World Wide Technology (WWT) is seeking an AI Solutions Architect to lead technical pre-sales for enterprise AI initiatives. You will translate customer requirements into end-to-end AI architectures, reference designs, and compelling proposals to win deals.

This role collaborates with AI executives, services consultants, and partner teams, including NVIDIA and hyperscalers, to ensure architectures are feasible, scalable, and handoff-ready for delivery.