Senior Application AI Engineer and Data Scientist - Globalization E-Invoicing Unit - SAP

Job Description What you'll bring   You have deep experience in distributed systems and scalable application design, with strong hands-on skills in LLMs, advanced RAG patterns, and agentic workflows. Strong experience in performance optimization, cost management, and troubleshooting complex production systems is essential. Experience designing evaluation frameworks for AI systems, validating model behavior, and applying agentic engineering patterns is critical. Technical leadership and mentoring ability are also part of what you'll bring. You bring applied data science depth to complement that engineering foundation: a working command of applied statistics and machine learning, including deep learning, foundation models, and semantic retrieval. Feature engineering, model training and monitoring, and the ability to reason rigorously about data quality and model behavior are part of your toolkit. Embedding ethical AI, governance, and data privacy into the systems you build is part of how you approach the work. Hands-on experience with SAP BTP is a plus, along with development skills (Node.js, Python, or similar). Familiarity with e-invoicing is a plus, or the ability to ramp up fast on domain-specific formats. What you'll build You will design and build systems and components for applications that use AI. This includes creating advanced RAG pipelines. It also involves developing multi-agent workflows. Evaluation and benchmarking frameworks to measure AI system