Central AI Solutions Architect – Pre-Sales & Architecture

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

Benefits offered by this job

Health and wellbeing

401k with company matching

PTO & holidays

Tuition reimbursement

Employee discount program

Parental leave

Bereavement

Job summary

World Wide Technology is seeking an experienced AI Solutions Architect to lead pre‑sales with hands‑on architectural designs for AI solutions. You will translate customer requirements into concrete AI architectures and collaborate across teams to win deals.

The role demands deep AI/ML infrastructure knowledge, pro‑level communication, and the ability to coordinate proof‑of‑concept engagements with WWT’s Advanced Technology Center and partner ecosystem.

Qualifications

• Minimum 10 years in technical pre‑sales, solutions architecture, or advanced engineering roles.
• Hands‑on experience designing AI/ML infrastructure and platforms; able to whiteboard end‑to‑end AI architecture.
• Bachelor’s degree in computer science, engineering, or related field.
• Experience with NVIDIA DGX/HGX systems, CUDA, and AI Enterprise software.
• Experience with AI workloads across on‑premises, cloud, and hybrid environments.

Responsibilities

• Serve as the technical counterpart to the AI Solutions Executive in customer engagements.
• Translate business problems into AI solution architectures spanning GPU, data platforms, ML frameworks, and networking.
• Lead discovery sessions and produce reference architectures, BoMs, sizing models, and POC plans.

Skills

Pre-sales experience

Architecture design

AI/ML infrastructure

NVIDIA DGX/HGX

Cloud (AWS/Azure/GCP)

Strong presentation

Stakeholder collaboration

Education

Bachelor’s degree in CS/Engineering

Tools

NVIDIA DGX/HGX

CUDA

MLOps tooling

Job description

World Wide Technology is seeking an experienced AI Solutions Architect to lead pre‑sales with hands‑on architectural designs for AI solutions. You will translate customer requirements into concrete AI architectures and collaborate across teams to win deals.

The role demands deep AI/ML infrastructure knowledge, pro‑level communication, and the ability to coordinate proof‑of‑concept engagements with WWT’s Advanced Technology Center and partner ecosystem.