AI project ideas through the entire development process: from ideation through proof of concept and MVP to implementation, Develop and manage AI applications hands-on (general and service-specific agents, skills, and workflows), Support services in their AI initiatives in a structured manner, from the initial idea to release, Apply and jointly develop AI governance and quality gates, Actively moderate between services and IT: clarify requirements, develop solutions, resolve blockers, Train and mentor services and key users in best practices, Langdock usage, and AI methodology, Independently steer and manage projects, document, and track them (tracking, lessons learned), Collaborate in the AI project team and regularly update stakeholders