Forward Deployment Engineer – Azure AI
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Job Description
Forward Deployment Engineer onboarding client workloads onto Nebius’s Azure AI cloud platform. Applying Terraform and CI/CD while supporting ML deployment, operations, and platform feedback.
Responsibilities:
- 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
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