Develop, analyze, prioritize, specify, validate, and manage requirements for cloud-based industrial AI and software applications., Design end-to-end architectures for cloud-based industrial AI and software applications, considering performance, scalability, reliability, security, usability, maintainability, integratability, observability, and business conditions., Elaborate, review and update the technical roadmap together with an interdisciplinary team from business, AI feature development, and software engineering., Technically manage the development and operation of industrial AI and software applications, including frontend, backend, cloud, data engineering, DevOps, and AI feature integration, ensuring timely, specification-compliant, and high-quality delivery according to best-practice development and operational standards., Innovate cloud-based industrial AI and software applications based on a thorough understanding of the latest trends in software and AI architecture design, as well as their software components., Offer technical guidance to the software engineering team and promote the exchange of knowledge and best practices within the team., Work closely with AI, software engineering, business, and domain experts in an international, interdisciplinary team., Communicate technical content clearly and understandably to customers, technical and business teams, as well as management.