IT Operations AI Engineer (m/f/d)

We are looking for an AI Engineer to apply AI and advanced analytics to EUMETSAT's infrastructure operations and to enable and evolve the AI/ML infrastructure of the multi-mission computing environment.

Background

The Infrastructure and Data Division (I2D), within EUMETSAT's Technical and Scientific Support Department (TSS) operates and evolves the Multi-Mission IT Computing (MIC) environment providing 24x7 Infrastructure-as-a-Service platforms, container management platforms, virtualised environments and software-defined storage for EUMETSAT’s operational ground‑segment infrastructure.

You will join a dynamic team responsible for operating, maintaining, securing and evolving the MIC infrastructure as it progresses towards hybrid, container-based, automation‑driven and AI‑assisted operations.

Responsibilities

• Apply AI and advanced analytics techniques to infrastructure operations (anomaly detection, log analysis, predictive monitoring, operational telemetry analysis)
• Leverage AI‑assisted and agentic tooling to enhance operational efficiency, scripting, documentation and knowledge stabilisation, with full human validation
• Deploy and operate AI workloads on Kubernetes and cloud platforms, including containerised AI services and model‑inference services
• Enable and evolve the AI/ML infrastructure (GPU/vGPU acceleration, AI frameworks, data pipelines)
• Integrate AI‑assisted capabilities with CI/CD platforms to support infrastructure-as-code development
• Conduct proof‑of‑concepts, benchmarking and architecture assessments for emerging AI technologies

Skills and experiences

• Familiarity with AI coding assistants and agentic development tools (e.g. Claude Code, GitHub Copilot, OpenAI Codex or equivalent)
• Experience applying AI or advanced analytics techniques to infrastructure operations
• Experience deploying and operating AI workloads on Kubernetes or cloud platforms (containerised AI services, model inference, scalable workloads)
• Experience leveraging AI‑assisted tools integrated with CI/CD platforms (e.g. GitLab AI capabilities)
• Experience with machine‑learning frameworks such as PyTorch, TensorFlow or Scikit‑learn (training, evaluation, deployment) is an advantage
• Experience with AI/ML infrastructure platforms, including GPU‑based environments and distributed training, is an advantage
• Advanced Linux administration and automation scripting (Bash, Python)
• Bachelor's degree (or equivalent) in a relevant discipline from an accredited university, with at least 5 years of relevant experience
• Effective written and verbal communication in English
• Ability to document and maintain technical baselines, operational procedures and architecture diagrams
• Knowledge of ITIL service management processes (incident, change, problem management)
• Willingness to participate in the standby / on‑call rotation and, occasionally, in weekend, public‑holiday or late‑night interventions as agreed in advance

General Work Skills

• Problem solving
• Good analytical skills
• High degree of interpersonal awareness
• Experience in working as part of a multicultural team
• Ability to work autonomously and to perform regular, e.g. weekly, context switch

Working Location

This is a full‑time position, located either at our customer EUMETSAT in Darmstadt, Germany or delivered off‑site from Germany, Czech Republic or Romania, starting in December 2026 onwards. Standby / call‑out support and provision of support to critical operations may sometimes be required.