Senior Knowledge Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph

<p><span><span><b><span>We help the world run better </span></b></span></span></p> <p><span><span><span>At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.  </span></span></span></p> <p> </p> <p> </p> <p><br/> <span><span><b>What you’ll do</b><br/> At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate.  Large Language Models (LLMs) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data such as business data models, business process metadata and documentation, which slows the development progress. It is SAP's mission to overcome these challenges within the realm of Business AI. Our goal is to provide Knowledge Graphs (KG) as key differentiators to address LLM challenges like hallucination and compliance and to deliver distinctive generative AI solutions to our customers. </span></span></p> <p><span><span>  </span></span></p> <p><span><span><b>The Role</b></span></span></p> <ul> <li><span><span>Unique opportunity to contribute to the development of Knowledge Graphs as a source of explicit knowledge across multiple SAP domains. </span></span></li> <li><span><span>Integrate Knowledge Graphs in downstream tasks such as Generative AI applications to address hallucinations, as well as insight generation applications. </span></span></li> <li><span><span>Design, develop, and manage the construction of large-scale Knowledge Graphs using business data (structured and unstructured) alongside Knowledge and Data engineering teams and stakeholders. </span></span></li> <li><span><span>Collaborate closely with various domain specialists and data owners to understand their requirements on Knowledge Graph modeling and Knowledge Graph provisioning. </span></span></li> <li><span><span>Make critical design decisions regarding the selection and implementation of underlying technologies.  </span></span></li> <li><span><span>Contribute to thought leadership in an entirely new field of Generative AI combined with Knowledge Graphs.  </span></span></li> <li><span><span>Present, discuss, and explain how Knowledge Graphs can benefit business use cases, as well as proactively propose new cases to relevant stakeholders. </span></span></li> </ul> <p> </p> <p><span><span><b>What you bring</b></span></span></p> <ul> <li><span><span>PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant disciplines.  </span></span></li> <li><span><span>5+ years of related professional experience with a deep background in Knowledge Graphs, and their application in a business context.   </span></span></li> <li><span><span>Experience in semantic / knowledge modeling. </span></span></li> <li><span><span>Working proficiency in the RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and in property graphs-based solutions (e.g., neo4j).  </span></span></li> <li><span><span>Experience mapping business operations into clear data models and organized schemas. </span></span></li> <li><span><span>Experience with Enterprise Knowledge Graph implementations and architecture, as well as knowledge of the current vendor ecosystem and open-source triple stores.  </span></span></li> <li><span><span>Knowledge of latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models, KG generation and KG embedding approaches. </span></span></li> <li><span><span>Solid knowledge in Artificial Intelligence and data science, more specifically graph based approaches. </span></span></li> <li><span><span>Fluent in Python and the ability to convert your ideas into productive code.  </span></span></li> <li><span><span>Ability to advise diverse stakeholders on how to apply an enterprise Knowledge Graph to business use cases.  </span></span></li> <li><span><span>Developer experience with any SAP Application and its underlying data models is a plus.  </span></span></li> <li><span><span>Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.  </span></span></li> </ul> <p><span><span>  <br/> <b>Meet your team</b><br/> SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers