Customer Solution Architect - Systems Integrator

Want to be part of the infrastructure powering the next generation of AI?

Join a specialist cloud provider building high-performance GPU infrastructure designed to support large-scale AI training and production workloads. Focused solely on delivering massive compute at scale, the team enables research labs and enterprises to train advanced models and deploy AI across thousands of GPUs. With a clear mission to outperform generalist cloud platforms, this environment offers exposure to cutting-edge technology at the core of the AI revolution.

Be part of the engine driving AI forward and help power the systems shaping the future.

Responsibilities:

• Serve as a Technical Anchor: Act as the primary architect for strategic accounts, resolving deep-seated AI/ML infrastructure challenges and ensuring seamless cluster deployments.
• Optimise for Performance: Partner with clients to fine-tune GPU stacks for maximum efficiency, ensuring their workloads are scalable, resilient, and cost-effective.
• Drive Strategic Growth: Work alongside the sales team to deliver technical deep-dives, evangelise new product capabilities, and identify expansion opportunities within key accounts.
• Voice of the Customer: Channel field insights directly back to our engineering and product teams to influence the development of our GPU services and features.
• Orchestrate Success: Negotiate technical solutions and drive alignment between internal developers and external stakeholders to overcome complex deployment hurdles.

Skills/Must have:

• Technical Stature: 5–10+ years in high-impact roles (Solutions Architect, TAM, or Customer Engineer) with significant experience in cloud-native ecosystems.
• Infrastructure Automation: Expert-level proficiency in Terraform and Ansible for managing complex, reproducible environments.
• Cloud-Native Stack: Strong hands-on experience with Kubernetes and Python programming.
• GPU Architecture: A foundational understanding of GPU computing, including CUDA kernels, ML training pipelines, and inference optimisation.
• Exceptional Communication: The ability to translate "hard" infrastructure problems into clear, strategic advice for both researchers and executives

Benefits:

• RSU equity
• 20% bonus

Salary:

• $250,000 base salary