Senior Enterprise AI Solutions Architect – Drive Adoption

NVIDIA Corporation; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Solutions Architect to drive technical engagement with Enterprise customers and the broader OEM/Partner Ecosystem for AI adoption across NVIDIA’s software and hardware stack. You will connect real-world workloads to NVIDIA’s platforms and serve as a trusted advisor, bridging complex challenges to innovative solutions.

This highly technical role requires expertise in generative AI, LLMs, AI frameworks and scalable software practices, with a strong focus on

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of industry experience including software/hardware engineering, developer relations, partnerships, solutions architecture, or product management.
• 3-5+ years hands-on experience across multiple industries and OEM platforms.
• Ability to communicate complex technical ideas to engineers and C-level executives.
• Strong problem-solving, curiosity and customer-success focus.
• Proven track record in pre-sales and driving customer adoption of NVIDIA technologies.

Responsibilities

• Serve as a trusted advisor mapping complex workloads to NVIDIA’s tech stack.
• Co-design scalable architectures with Enterprise customers, defining technical direction and deployment plans.
• Engage hands-on with design, validation, and support of customer solutions.
• Deliver presentations to technical teams and C-suite at customers and partners.

Skills

Pre-sales experience

AI/ML expertise

Technical communication

Customer relationship management

Education

Bachelor's or Master's degree in CS/Engineering

Job description

NVIDIA Corporation is seeking a Senior Solutions Architect to drive technical engagement with Enterprise customers and the broader OEM/Partner Ecosystem for AI adoption across NVIDIA’s software and hardware stack. You will connect real-world workloads to NVIDIA’s platforms and serve as a trusted advisor, bridging complex challenges to innovative solutions.

This highly technical role requires expertise in generative AI, LLMs, AI frameworks and scalable software practices, with a strong focus on