Level

NVIDIA

Solutions Architect - AI Factory, North Africa

AI in this role

Design and scale enterprise-grade AI and HPC infrastructure, connecting real-world workloads to NVIDIA platforms as a Solutions Architect.

nvidia-platformsgpus
solutions-architectureai-infrastructurehpcdistributed-systemscluster-management

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 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.

If you're ready to take on this outstanding opportunity and help NVIDIA continue to lead the world in technology innovation, apply now!

How we rate this

Solutions Architect - AI Factory, North Africa at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Solutions ArchitectureAI InfrastructureHpcDistributed SystemsCluster ManagementNvidia PlatformsGpus

Questions you could be asked

  1. Tell me about a project where solutions architecture was part of your work. What did you do?
  2. Tell me about a project where ai infrastructure was part of your work. What did you do?
  3. Tell me about a project where hpc was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where cluster management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Solutions Architecture, AI Infrastructure, Hpc, Distributed Systems, and Cluster Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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