Solutions Architect – AI Factory

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.

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.