Solutions Architect, AI Factory - CIS Region

NVIDIA; United States; À distance; USD 140 000 - 210 000; Plein temps

Résumé du poste

NVIDIA is seeking a Solutions Architect – AI Factory to design, build, and maintain large-scale AI factories, mapping customer workloads to NVIDIA hardware and software to help developers and enterprises scale the platform.

You will lead technical discovery, design end-to-end AI Factory solutions, and guide adoption of NVIDIA’s full-stack platform. You will run PoCs, workshops, and architecture reviews, and collaborate with sales to shape strategy and proposals for customer wins.

Qualifications

• Minimum 5+ years in senior technical roles such as Solutions Architect, Systems Architect, AI/ML Platform Engineer, Technical Consultant, or similar.
• Proven experience designing, deploying, or operating AI and HPC infrastructure at enterprise scale.
• Strong collaboration and communication across technical and executive stakeholders.

Responsabilités

• Lead technical discovery with customer architects, engineers, and executives to understand goals, workloads, 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, demonstrations, and architecture reviews to prove value and accelerate adoption.
• Partner with sales to shape strategy, qualify opportunities, develop proposals, and win customers.
• Lead design reviews, BOMs, deployment plans, and readiness assessments.
• Build trusted technical relationships with engineers, IT leaders, and executives at strategic accounts.

Connaissances

Senior technical roles

AI/ML platform

Technical leadership

Executive-level presentation

Formation

BS/MS/PhD in CS/Engineering or related

Outils

NVIDIA AI Factory stack

Description du poste

We are looking for a Solutions Architect – AI Factory with experience in designing, building, and maintaining large-scale AI factories to join our team at NVIDIA. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you.

What you'll be doing:

• Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments.
• Design end-to-end AI Factory solutions spanning compute, networking, storage, cluster management, workload orchestration.
• Guide customers through adoption of NVIDIA's full-stack platform.
• Run proof-of-concepts, workshops, technical enablement, demos, and architecture solution reviews, that prove technical and business value and accelerate customer adoption.
• Partner closely with sales account managers to shape technical strategy, qualify opportunities, develop solution proposals, and secure customer wins.
• Lead technical design reviews, bills of materials, deployment plans, readiness assessments, and handoffs to implementation and operations teams.
• Build and grow trusted technical relationships with engineers, architects, IT leaders, and executives at strategic customer accounts.

What we need to see:

• BS, MS or PhD in Computer Science, Engineering or a 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.
• Established track record designing, deploying, or operating AI and HPC infrastructure at enterprise scale.
• Deep technical expertise in several of the following: datacenter infrastructure, distributed systems, high-performance networking, storage, cluster management, AI/HPC workload orchestration, and GPU-accelerated computing.
• Experience leading technical discovery, architecture workshops, proof-of-concepts, performance validation, and executive-level technical presentations.
• Effective collaboration across teams, combined with excellent written and verbal communication.

Ways to stand out from the crowd:

• Strong experience working with enterprise customers across Armenia and Central Asia.
• Native or fluent Armenian and Russian, with professional English.
• Hands-on experience with the NVIDIA AI Factory stack.
• Experience with MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems.