About the Role / About the Job
We are looking for a Solutions Architect – AI Factory with experience in designing, building, and maintaining large-scale AI factories. In this role, you’ll connect real-world customer workloads to the company'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!
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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 the company'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 in South Africa.
- Professional French or other languages are an advantage and the ability to travel across Africa as required.
- Practical background with the company's AI Factory stack.
- Expertise in MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems.
