AI Operations Specialist – FinOps & AI Cost Management

Role Overview

We are looking for an AI Operations Specialist with a technical IT background to work with application development and the use of AI services in specific use cases. The role involves analysing how AI services are used, where costs arise and which technical changes could improve their use.

What You Will Do

You will work closely with developers, data scientists, AI users, platform teams and Finance to understand the applications and use cases behind AI usage, identify cost drivers and develop improvements with the teams involved. You will analyse unusual consumption patterns, challenge inefficient configurations and help teams make more informed decisions about model usage, infrastructure and budgets.

Why It Might Be a Fit

This role is suited to someone who enjoys connecting technical details with their financial impact and turning complex usage data into practical, actionable measures.

Requirements

• Two to three years of experience in a technical IT role, such as software development, application operations or cloud engineering, as well as experience in FinOps or cloud cost management.
• Good understanding of modern AI and machine learning ecosystems, including platforms such as AWS SageMaker, Bedrock, Azure AI Services and Azure OpenAI.
• Experience with cost observability and monitoring tools.
• Strong analytical skills, with the ability to interpret usage data, identify anomalies and develop practical recommendations.
• Excellent stakeholder management and communication skills, with the ability to translate technical consumption data into clear financial explanations.
• Very good German and English language skills, with the ability to communicate clearly and effectively with different audiences in both languages.

Tagged as: Data Analysis