Data Science Expert (Domain Models) - Data Labs (m/f/d)
Core
Design and maintain enterprise ontologies and semantic models to ground SAP's AI agents in accurate business context, building RAG pipelines and generative AI solutions using SAP's Business ontology.
Role type
Senior Applied Scientist (Semantic AI & Knowledge Engineering)
Builds
Semantic layers, RAG pipelines, vector databases, and generative AI solutions for SAP's enterprise AI agents.
Domain
Enterprise Software / AI / Knowledge Graphs
Deliverable
production ML models
Required skills
Knowledge engineering, Semantic modeling, Graph query languages (SPARQL/Cypher/GQL), RAG pipelines, Embeddings, Vector databases, Generative AI, LLMs, Python, SQL, PyTorch/TensorFlow, Cloud platforms (Databricks/AWS/Azure/GCP), Production ML deployment
Preferred skills
SAP data models and business processes, SAP Datasphere/HANA Cloud Knowledge Graph, W3C stack (OWL/RDF/SKOS), Agentic AI, Reasoning frameworks, Multi-agent architectures
Technologies
Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, GCP, PyTorch, TensorFlow, scikit-learn, SPARQL, Cypher, GQL, RDF, OWL, SKOS
Responsibilities
Design and maintain enterprise ontologies and semantic models; Build AI capabilities including RAG pipelines and embeddings; Develop generative AI and LLM-based solutions; Leverage SAP data models and business process semantics; 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