Solutions Architect

NVIDIA Corporation; Dubai; On-site; AED 350,000 - 550,000; Full time

Job summary

NVIDIA Corporation in Dubai seeks a Solutions Architect AI Factory to design and deploy large-scale AI factory solutions that connect real workloads to NVIDIA's hardware and software stack. You will lead technical discovery with customers, design end-to-end AI Factory architectures, and guide adoption of NVIDIA's full-stack platform to accelerate deployment.

The ideal candidate has 5+ years in senior technical roles, deep experience with datacenter infra, GPU-accelerated computing, and excellent

Qualifications

• BS/MS/PhD in CS/Engineering or related field, 5+ years in senior technical roles.
• Experience designing, deploying, or operating AI/HPC infrastructure at enterprise scale.
• Deep expertise in datacenter infrastructure, distributed systems, networking, storage, orchestration, and GPU computing.
• Excellent written and verbal communication; executive-level presentations.

Responsibilities

• Lead technical discovery with customer architects, engineers, and executives.
• Design end-to-end AI Factory solutions across compute, storage, networking, and orchestration.
• Guide customers through adoption of NVIDIA's full-stack platform.
• Run PoCs, enablement demos, and architecture reviews to prove value and accelerate adoption.
• Partner with sales to shape technical strategy, qualify opportunities, develop proposals, and secure wins.
• Lead design reviews, BOMs, deployment plans, readiness assessments, and handoffs to implementation teams.
• Build trusted technical relationships with engineers, IT leaders, and executives at strategic accounts.

Skills

Technical depth

Trusted advisor

Executive-level communication

Travel willingness

AI/HPC platform experience

Relationship building

Education

BS/MS/PhD in CS/Engineering or related field

Tools

NVIDIA AI Factory stack

GPU-accelerated computing

Job description

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

Ways to stand out from the crowd

Strong experience working with enterprise customers across North Africa Native or fluent in Arabic and French plus the ability to travel across North Africa as required 20 of the working time Practical background 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

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.