Data Science Expert (CX) - Data Labs (m/w/d)
Core
Build and scale the semantic and contextual foundation (context engine) for SAP's AI agents and assistants by designing enterprise ontologies, semantic models, and knowledge grounding layers.
Role type
Senior Applied Scientist (Knowledge Engineering & Semantic AI)
Builds
Semantic layers, RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding for AI agents.
Domain
Enterprise AI, Knowledge Engineering, Semantic Web, Customer Experience (CX)
Deliverable
production ML models
Required skills
Knowledge engineering, Enterprise ontology design, Semantic modeling, RAG pipelines, Embeddings, Vector databases, Generative AI, LLM solutions, Python, SQL, Machine learning, Deep learning, Big data infrastructure, Cloud platforms
Preferred skills
SAP data models and business processes, SAP AI platform stack, W3C stack (OWL, RDF, SKOS), Agentic AI, Reasoning frameworks, CX/Retail use cases
Technologies
Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, GCP, PyTorch, TensorFlow, scikit-learn, SPARQL, Cypher, GQL
Responsibilities
Design and maintain enterprise ontologies and semantic models; Build AI capabilities including RAG pipelines and vector databases; Develop generative AI and LLM-based solutions; Leverage SAP data context to ground AI solutions; Work with cloud and data platforms to support scalable AI workflows; Partner across teams to translate business challenges into AI solutions; Apply machine learning and statistical modeling to evaluate AI solutions.
Seniority
Senior, hands-on IC
