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Die thyssenkrupp Group in Bremen sucht einen Senior Software Architect (m/w/d) zur Weiterentwicklung der Abteilung und zur eigenständigen Umsetzung von Softwarearchitektur-Arbeitspaketen. Sie arbeiten eng mit Management, Vertrieb, Produkt- und Projektmanagement zusammen und betreiben Optimierung durch AI-Anwendungen.
Ihre Expertise liegt in Frontend- und Backend-Entwicklung, LLM-Integrationen und modernen Frameworks.
For our client, a company of the thyssenkrupp Group in Bremen, we are currently looking for a Senior Software Architect (m/f/d). Empowerment and further development of the department and its employees as specialists in a specific area of software development and/or independent and holistic implementation and management of a work package consisting of one or more software architecture elements, taking into account standards as well as process and quality specifications. Empowerment and development of the department in a specialized area. Proactive development and ensuring of expertise in close coordination with management to provide the necessary skills and further develop employees. Responsibility for all necessary activities within software development and a software architecture, taking into account quality, costs, and deadlines, as well as evaluation, delegation, and management of all necessary activities within the work packages in terms of quality, costs, and deadlines (QCT). Consulting and support for sales, product/project management, and customers (internal and external) in the context of software development. Reduction of complexity through further decomposition, creation and initiation of implementation concepts and software designs, as well as linking individual software development artifacts based on a software architecture. Optimization of internal company processes through the use of AI. Identification, evaluation, and implementation of specific AI use cases and integration of suitable AI frameworks into productive use; evaluation and further development of selected algorithms with regard to quality and robustness; analysis of existing AI methods and technologies as well as selection of suitable models, architectures and tools