AI Product Owner

Responsibilities

• Establish AI in engineering

• Further develop AI across the entire software stack with a strong focus on innovation, practical implementation, scalability and sustainable integration.

• Orchestrate agent-based systems

• Design, build and manage AI agents and their interactions within complex system landscapes

• Design use cases and architectures

• Identify meaningful areas of application and develop scalable architectural approaches

• Transition prototypes into production

• Turn ideas and PoCs into productive, stable solutions

• Optimize DevOps & workflows

• Use AI to improve development processes, CI/CD, GitOps and operational procedures

• Hands-on technical work

• Develop and integrate modern AI solutions (LLMs, RAG systems, agent architectures)

• Further develop own framework

• Work with and expand an existing internal framework for AI-supported development and automation

• Ensure quality and compliance

• Consider regulatory requirements, traceability and security, testing

Qualifications

• Strong background in architecture and engineering

• Several years of experience in software architecture, complex system landscapes (DevOps) and modern development processes

• Experience with AI development

• Practical experience building and deploying AI systems, especially LLMs and agent-based approaches

• Know-how in agent orchestration

• Understanding of multi-agent systems, workflows and their integration into existing systems

• Experience with modern DevOps practices

• Knowledge of CI/CD, GitOps and automated development processes

• Hands-on mentality

• Ability to implement concepts independently and bring them into production

• Analytical and structured thinking

• Strong communication skills

• Experience in regulated environments (advantageous)

• Understanding of requirements in financial or safety-critical contexts

• Experience with Scrum is a plus

• Very good German and very good English skills.