Solutions Architect, AI Factory – CIS Region

NVIDIA

. Lead technical discovery with customer architects, engineers, and executives to understand business goals, AI/HPC workloads, performance requirements, security constraints, and deployment environments .

Posted 10/4/2026full-timeRemote • ArmeniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and HPC infrastructure, with a strong focus on technical discovery, architecture workshops, and customer engagement. Proficient in building trusted relationships with enterprise customers while effectively communicating complex technical concepts.

Highest-signal resume keywords

AI/HPC Infrastructure DesignTechnical Discovery LeadershipNVIDIA AI Factory StackEnterprise Customer EngagementPerformance Validation

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Hard Skills

Datacenter InfrastructureDistributed SystemsHigh-Performance NetworkingStorage ManagementCluster ManagementWorkload OrchestrationGPU-Accelerated ComputingTechnical PresentationsArchitecture WorkshopsProof-of-Concept Development

Soft Skills

Effective CollaborationExcellent Communication

Tools & Technologies

NVIDIA AI FactoryMEP Systems

Certifications & Qualifications

BS in Computer ScienceMS in EngineeringPhD in Related Field

Industry Keywords

AI Factory SolutionsHPC WorkloadsPerformance RequirementsSecurity ConstraintsDeployment Environments

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

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 to prove technical and business value and accelerate customer adoption
Partner 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

Requirements

What you’ll need

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
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