STI Deutschland GmbH

• You support the development of production-ready AI use cases — from idea and prototype to deployment. • You develop, test, and document prompts, workflows, and automations using modern AI tools. • You contribute to building our internal knowledge wiki based on Retrieval-Augmented Generation (RAG) and help integrate relevant data sources. • You create documentation and playbooks, and support the standardization of our AI solutions. • You help make the success of our use cases measurable using relevant KPIs. • You support the development and delivery of trainings, workshops, and courses on AI. • You produce practical learning materials, prompt collections, and use-case libraries. • You support our power users through train-the-trainer approaches and by sharing best practices. • You take part in AI office hours, hackathons, and onboarding activities. • You analyze the usage of our AI tools and work with the team to define measures to increase adoption.

• Advise our clients on introducing or expanding cloud- or on-premise-based Big Data architectures • Design requirement analyses and oversee implementation • Take ownership of end-to-end implementation, from data integration to use in analytical models and operationalization • Prepare and analyze large structured and unstructured datasets using scalable cloud infrastructures • Collaborate closely with Data Scientists and Data Engineers to develop analytical models, predictive analyses, and preventive countermeasures • Continuously propose improvements to increase the efficiency of deployed Big Data solutions • Expand existing client relationships, identify new projects, and independently acquire new customers.

• Design, implementation, and further development of integration and automation workflows using iPaaS platforms • Connecting external systems via APIs, webhooks, standard connectors, and middleware • Analysis and design of data flows, interfaces, data mappings, and integration logic • Contributing to integration scenarios between CRM, ERP, collaboration, and third‑party systems • Acting as the technical point of contact for integration and automation topics within projects • Close collaboration with CRM, architecture, and business teams to implement robust end‑to‑end processes • Supporting architecture and solution design for scalable integration scenarios • Monitoring, troubleshooting, and optimizing integration workflows • Implementing error handling, logging, and monitoring mechanisms • Documenting integration architectures, interfaces, mappings, and operational logic • Considering security, data protection, and governance requirements • Supporting API‑related questions as well as testing, rollouts, and handovers to operations