Forward Deployment Engineer – Azure AI

Job not on LinkedIn

🔥 7 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Act as the hands-on bridge between Nebius’s Azure AI platform and requestor or client teams • 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 Terraform modules and CI/CD pipelines to project workloads • Support machine learning workload deployment and lifecycle management on Azure • Capture gaps, delivery friction, and feature requests • Provide continuous, structured feedback to Platform Engineering • Improve runbooks, documentation, and reusable onboarding patterns • Uphold security, governance, and compliance guardrails during every onboarding

🎯 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

🏖️ Benefits

• Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams • Fast moving • Bold thinking • Constant growth • Meaningful impact • Trust and real ownership • Opportunity to shape the future of AI