About the Job
We are looking for a Solutions Architect – AI Factory with experience in designing, building, and maintaining large-scale AI factories to join our team. In this role, you’ll connect real-world customer workloads to our 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 our 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 AI Factory stack.
- Expertise in MEP (Mechanical, Electrical, and Plumbing) systems used in AI Factory construction, including cooling infrastructure, power distribution, and plumbing systems.
