Unique opportunity to contribute to the development of Knowledge Graphs as a source of explicit knowledge across multiple SAP domains.
Support the integration of Knowledge Graphs in downstream tasks such as Generative AI applications to address hallucinations, as well as insight generation applications.
Assist in designing and building a large-scale Knowledge Graph using business data alongside Knowledge and Data engineering teams and stakeholders.
Understand and analyze requirements from domain specialists and data owners and translate those to Knowledge Graph designs.
Present, discuss, and explain how Knowledge Graphs can benefit business use cases, and assist in drafting new cases for the relevant stakeholders.
What you bring
Bachelor’s or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant disciplines.
Professional experience with a background in Knowledge Graphs, and their application in a business context is a plus.
Knowledge of the RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and in property graphs-based solutions (e.g., neo4j).
Experience in semantic / knowledge modeling
First experience with Knowledge Graph databases and an overview of current vendors and open-source solutions.
Familiarity with latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models, KG generation and KG embedding approaches.
Data science knowledge, knowledge related to graph data structures is a plus.
Fluent in Python and the ability to convert your ideas into productive code.
Developer experience with any SAP Application and its underlying data models is a plus.
Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.