Senior AI Platform & Research Infrastructure Engineer; m​/f​/d

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• Design, develop, and operate a federated AI platform and model management environment for universities and research institutions.
• Develop web applications, APIs, backend services, and platform components for AI model lifecycle management.
• Build and integrate AI middleware, model registries, API gateways, authentication services, and multi-tenant platform capabilities.
• Implement governance, approval, deployment, monitoring, and automation workflows for AI services and models.
• Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, logging, and automation.
• Collaborate with research partners, platform operators, and stakeholders in a national research infrastructure environment.

Looking for an employer you can count on? Join us!

• Design, develop, and operate a federated AI platform and model management environment for universities and research institutions.
• Develop web applications, APIs, backend services, and platform components for AI model lifecycle management.
• Build and integrate AI middleware, model registries, API gateways, authentication services, and multi-tenant platform capabilities.
• Implement governance, approval, deployment, monitoring, and automation workflows for AI services and models.
• Develop and operate Kubernetes-based cloud-native infrastructure, including CI/CD, monitoring, logging, and automation.
• Collaborate with research partners, platform operators, and stakeholders in a national research infrastructure environment.

• Master's degree (or equivalent) in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Professional experience in software engineering and distributed systems.
• Strong programming skills in Python, Go, or similar technologies.
• Experience with APIs, databases, cloud-native technologies, containers, and Kubernetes.
• Knowledge of authentication, authorization, identity management, and Dev Ops practices.
• Strong analytical, communication, and collaboration skills.
• Professional proficiency in English.

• Experience with AI platforms, LLMs, machine learning infrastructure, or model serving.
• Knowledge of multi-tenant platforms, API gateways, federated IAM, and OpenAI-compatible APIs.
• Experience with CI/CD, infrastructure automation, and platform operations.
• Familiarity with metadata standards, FAIR principles, or research infrastructures.
• Experience in higher education, research, public-sector, or open-source environments.

full time (40 hrs) flexible working model with electronic time recording

30.09.2029, a further employment is intended

up to E 13, see Entgelttabelle TV-L

30 days

(24.12. + 31.12. additionally day off)

Overtime is compensated by additional time off

Up to 60% mobile work for suitable tasks, mostly two-person offices, bus and subway (U6) on the doorstep, free parking, pension plan of the Versorgungsanstalt des Bundes und der Länder (VBL), state-of-the-art work equipment, Cooperation Agreement with Sports Facility Providers for Discounted Membership

Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for…