Forward Deployment Engineer — Azure AI

Team: IT

Location: Spain

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Lead the onboarding of projects onto the Azure AI platform by following established deployment frameworks, runbooks, and best practices.
• Support requestor and client teams throughout onboarding, production launch, and the early operational lifecycle to ensure successful adoption.
• Configure and adapt Terraform modules, Infrastructure as Code, and CI/CD pipelines to meet project-specific requirements.
• Deploy and support machine learning workloads while assisting with lifecycle management across Azure environments.
• Identify deployment challenges, operational bottlenecks, and enhancement opportunities, providing structured feedback to Platform Engineering teams.
• Continuously improve onboarding documentation, reusable deployment patterns, and technical runbooks while ensuring compliance with security, governance, and operational standards.

Requirements

• 5–8 years of experience in cloud engineering, platform engineering, DevOps, solution engineering, technical consulting, or a related field.
• Strong hands-on expertise with Microsoft Azure, including the Azure Well-Architected Framework and Azure AI services.
• Proven experience with Terraform, Infrastructure as Code, and CI/CD tools such as GitHub Actions, Azure DevOps, GitLab CI, or similar platforms.
• Good understanding of machine learning deployment processes and model lifecycle management.
• Excellent communication, stakeholder management, and client-facing consulting skills.
• Professional working proficiency in English.
• Experience with Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Kubernetes, AKS, containerization, Python automation, LLMs, RAG solutions, or previous customer-facing engineering roles is considered an advantage.

Benefits

• Competitive compensation package.
• Career growth and continuous learning opportunities.
• Flexible remote working environment with a high level of ownership.
• Collaborative, innovative, and engineering-driven culture.
• Opportunity to contribute to impactful AI and cloud infrastructure projects.
• International work environment with highly skilled and diverse teams.