AI Factory Solutions Architect - Enterprise-Scale AI

NVIDIA Corporation; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

NVIDIA Corporation seeks a Solutions Architect – AI Factory to design, build, and sustain large-scale AI factories. You will connect customer workloads to NVIDIA hardware and software, acting as a trusted advisor and enabling adoption of NVIDIA platforms across enterprises.

Lead technical discovery, run PoCs and architecture reviews, and collaborate with sales to secure wins while building trusted relationships with engineers, IT leaders, and executives at key accounts.

Qualifications

• BS, MS or PhD in Computer Science, Engineering or related field (or equivalent experience).
• 5+ years in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer, Technical Consultant, or similar.
• Deep technical expertise in datacenter infrastructure, distributed systems, high-performance networking, storage, cluster management, AI/HPC workload orchestration, and GPU-accelerated computing.

Responsibilities

• Lead technical discovery with customer architects, engineers, and executives to understand goals, workloads, performance, security, and deployment environments.
• Design end-to-end AI Factory solutions spanning compute, networking, storage, cluster management, and workload orchestration.
• Guide customers through adoption of NVIDIA's full-stack platform; run PoCs, workshops, demos, and architecture reviews.

Skills

Architectural design

Stakeholder communication

PoC leadership

Executive presentations

Education

BS/MS/PhD in CS/Engineering

Tools

NVIDIA AI Factory stack

GPU-accelerated computing

AI/HPC orchestration

Datacenter infrastructure

High-performance networking

Cluster management

Job description

NVIDIA Corporation seeks a Solutions Architect – AI Factory to design, build, and sustain large-scale AI factories. You will connect customer workloads to NVIDIA hardware and software, acting as a trusted advisor and enabling adoption of NVIDIA platforms across enterprises.

Lead technical discovery, run PoCs and architecture reviews, and collaborate with sales to secure wins while building trusted relationships with engineers, IT leaders, and executives at key accounts.