Global AI Solutions Architect – Pre-Sales & GPU Infra

AIToolboard; United States; On-site; USD 185,000 - 235,000; Full time

Benefits offered by this job

Health and Wellbeing program

401k with matching

Paid time off and holidays

Employee discounts

Job summary

World Wide Technology is seeking an AI Solutions Architect to lead pre-sales and design end-to-end AI architectures across on-prem, cloud, and hybrid environments. You will translate technical concepts into business outcomes and collaborate with sales and partner resources to drive deals.

The role requires 10+ years in related roles, hands-on AI infrastructure experience, and familiarity with NVIDIA DGX/HGX, CUDA, and AI Enterprise software. Occasional travel up to 40% is expected.

Qualifications

• The candidate has 10+ years in technical pre-sales, solutions architecture, or related roles.
• Experience designing AI/ML infrastructure and platforms end-to-end.
• Hands-on knowledge of NVIDIA DGX/HGX, CUDA, and AI enterprise software.
• Familiarity with AI workloads across on-prem, cloud, and hybrid environments.
• Ability to translate complex tech into business narratives and present clearly.

Responsibilities

• Design and articulate end-to-end AI architectures from GPU to inference deployment.
• Lead technical engagements to advance deals in a revenue-generating context.
• Collaborate with sales, field teams, and partner SE resources in co-selling.
• Travel up to 40% as required to meet customers and projects.

Skills

Technical pre-sales

Solutions architecture

End-to-end AI design

Strong presentation

Communications

Co-selling collaboration

Education

Bachelor’s degree in CS/Engineering or related field

Tools

NVIDIA DGX/HGX

CUDA

AI Enterprise software

Job description

World Wide Technology is seeking an AI Solutions Architect to lead pre-sales and design end-to-end AI architectures across on-prem, cloud, and hybrid environments. You will translate technical concepts into business outcomes and collaborate with sales and partner resources to drive deals.

The role requires 10+ years in related roles, hands-on AI infrastructure experience, and familiarity with NVIDIA DGX/HGX, CUDA, and AI Enterprise software. Occasional travel up to 40% is expected.