Key Customers Solutions Architect EMEA

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p> <p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&amp;D.</p></div><h3><span data-ccp-props="{}">The role</span></h3> <p>Nebius seeks a <strong>Key Customers Solutions Architect</strong> to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.</p> <p>You’re welcome to work remotely from <strong>Europe.</strong></p> <p><strong>Your responsibilities will include:&nbsp;</strong></p> <ul> <li>Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.</li> <li>Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.</li> <li>Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.</li> <li>Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.</li> <li>Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.</li> </ul> <p><strong>We expect you to have: </strong></p> <ul> <li>Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.</li> <li>Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.</li> <li>Experience with Kubernetes and Python programming.</li> <li>Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).