Solutions Architect

Solutions Architect (GPU) UK, Norway, Netherlands, Poland (Remote) About the Company We are a GPU cloud provider engineered specifically for AI workloads. Our platform delivers high-performance, cost-efficient infrastructure to both AI start-ups and large enterprises. By simplifying the challenges of modern AI development, we enable organizations to innovate rapidly while improving cost efficiency, technical capability, and sustainability. Our culture is rooted in innovation, ownership, and accountability. Team members operate with urgency and excellence, building trust through transparency and open communication. By joining us, you’ll help build the infrastructure that powers the future of AI. About the Role We’re seeking a Solutions Architect to collaborate closely with customers, engineering teams, and infrastructure groups to design scalable GPU cloud architectures. You’ll serve as a trusted technical advisor—translating customer needs into well-designed architectures, deployment plans, and integration strategies on our GPU platform. This role blends technical depth with customer-facing problem solving. You’ll help organizations optimize AI workloads, design high-performance GPU clusters, and ensure smooth onboarding and long-term platform success. What You’ll Do Engage with customers to understand AI workloads, technical requirements, and scaling strategies Architect custom GPU infrastructure solutions, including capacity planning, cluster design, networking, and performance optimization Provide guidance across compute, networking, storage, and deployment best practices Collaborate with engineering and operations teams to ensure solutions follow platform standards Support onboarding, proof‑of‑concept initiatives, and GPU cluster deployments Diagnose architecture‑level issues and recommend performance and cost improvements Produce solution diagrams, architecture documentation, and technical proposals Create and manage BOMs for customer solutions, including RFQs and pricing Act as a subject matter expert on the platform’s features, APIs, and capabilities What You Bring 4+ years in solutions architecture, cloud architecture, systems engineering, or similar fields Strong understanding of GPU compute, HPC, AI/ML workloads, and high‑performance infrastructure Knowledge of networking (L2/L3, InfiniBand, RoCE), storage architectures, and distributed compute patterns Ability to translate requirements into scalable, practical technical designs Excellent communication skills with both technical and non‑technical audiences Ability to collaborate effectively across engineering, operations, product, and customer teams Hands‑on experience with Linux systems, containers, orchestration tools, or ML frameworks Nice to Have Experience with GPU cluster management, high‑density compute environments, Kubernetes, Terraform, observability tooling, or AI performance profiling Why Join As a Solutions Architect, you’ll help define how leading organizations build and scale world‑class AI systems. You’ll support both cutting‑edge start‑ups and global enterprises in getting the most from high‑performance GPU infrastructure—while contributing to the best practices shaping the next generation of AI platforms. Your work will directly influence the growth of our global footprint and empower the teams building tomorrow’s AI breakthroughs. Seniority level Not Applicable Employment type Full‑time Job function Consulting Industries Data Infrastructure and Analytics IT System Data Services IT Services and IT Consulting #J-18808-Ljbffr