Senior AI Factory Solutions Architect - Field Deployment

NVIDIA AI; Washington (MA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a highly technical Solution Architect to act as a forward-deployed technical liaison between NVIDIA’s Partner Network, internal teams, and enterprise customers. You will support planning, development, and deployment of large-scale AI factories based on NVIDIA reference designs.

As a trusted advisor, you will bridge solution development, enablement, and post-deployment optimization, accelerating AI factory adoption and continuous improvement across deployments.

Qualifications

• Bachelor's degree or equivalent in Engineering or related field.
• 8+ years of experience in hyperscale AI/HPC data centers.
• Expertise in data center systems and operations: power, cooling, racks, cabling.
• Strong communication with customers and executives.
• Willingness to travel up to 25%.

Responsibilities

• AI Factory deployment planning with product, engineering and partners.
• Build processes, partner relationships and workflows to deploy at speed.
• Review installation plans and BOMs for compatibility with NVIDIA reference builds.
• Design pre-deployment audits to detect risks and improvements.
• Implement QA to meet specifications and performance benchmarks.
• Develop partner playbooks and runbooks for AI factory deployments.
• Serve as internal liaison, sharing field insights with NVIDIA teams.

Skills

Data center ops

Executive comms

Project coordination

Hyperscale data centers

Education

Bachelor's degree in Engineering or related field

Job description

NVIDIA is seeking a highly technical Solution Architect to act as a forward-deployed technical liaison between NVIDIA’s Partner Network, internal teams, and enterprise customers. You will support planning, development, and deployment of large-scale AI factories based on NVIDIA reference designs.

As a trusted advisor, you will bridge solution development, enablement, and post-deployment optimization, accelerating AI factory adoption and continuous improvement across deployments.