Forward Deployment Engineer — Azure AI

About Nebius : 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. 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. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&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&D. The role Nebius is building a high-performance AI cloud platform, and we are looking for a Forward Deployment Engineer to act as the hands-on bridge between our Azure AI platform and requestor or client teams. You will onboard projects using established runbooks and golden paths, support teams through early operations, and channel real-world delivery feedback back into Platform Engineering. Requirements 5–8 years of experience in cloud engineering, platform engineering, DevOps, solution engineering, or technical consulting. Strong hands-on experience with Microsoft Azure and the Azure Well-Architected Framework. Experience with core Azure AI, machine learning, and platform services. Strong experience with Terraform and Infrastructure as Code. Experience with CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI, or similar. Understanding of machine learning model deployment and lifecycle concepts. Strong client-facing, consulting, and stakeholder communication skills. Intermediate or higher English. Responsibilities Onboard requestor and client projects onto the Azure AI platform using approved runbooks and golden paths. Work closely with teams throughout onboarding, go-live, and early operations. Apply and adapt Terra