Solutions Architect, AI Factory - CIS Region

About the role

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.

Key responsibilities

• 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, and 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 demonstrate technical and business value.
• 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.

Required profile

• 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.

Required skills

• Datacenter infrastructure
• Distributed systems
• High‑performance networking
• Storage
• Cluster management
• AI/HPC workload orchestration
• GPU‑accelerated computing
• Hands‑on experience with the NVIDIA AI Factory stack
• MEP systems (cooling infrastructure, power distribution, plumbing)