Knowledge Graph Tech Lead (m/f/d)

SAP SE; Deutschland; Híbrido; EUR 150.000 - 190.000; Jornada completa

Descripción de la vacante

SAP SE is seeking a Knowledge Graph Tech Lead to define the technical vision for the Industry Knowledge Graph across SAP applications and industries. You will guide a team of knowledge engineers, data scientists, and AI researchers, shaping production-grade RDF graphs and scalable pipelines.

In this role you design ontologies, SHACL constraints, and KG construction architectures, while collaborating with product teams to integrate KG with LLMs and enterprise data.

Formación

• PhD or Master’s in CS/AI with 12+ years in KG/data engineering or related fields.
• Strong publications in KG/AI appreciated.
• Experience leading large-scale KG initiatives from concept to production.
• Hands-on RDF/OWL/SHACL with enterprise KG deployment at scale.
• Experience integrating KG with LLMs (graph RAG, embeddings, agents).
• Familiarity with SAP data models and enterprise data is a plus.

Responsabilidades

• Define and own the architectural and research roadmap for the Industry Knowledge Graph – ontology design, SHACL constraints, KG construction at scale, and deployment as open-source project.
• Provide technical leadership to a multidisciplinary team; set the technical bar, drive experiments, and steer execution without direct people management.
• Redefine end-to-end KG construction in the era of Agentic AI, from modeling to integration with sources and representations.
• Shape the IKG to integrate with the OP4I platform with clear interfaces and downstream documentation.
• Advance KG and Foundation Model integration through agent grounding and KG-grounded AI collaboration with SAP stakeholders.

Conocimientos

Knowledge Graphs

RDF/SHACL/SPARQL

LMM Integration

Technical Leadership

Ontology Design

KG production

Educación

PhD or Master’s in CS/AI

Herramientas

GraphDB

Stardog

Virtuoso

Apache Jena

KG pipelines

Descripción del empleo

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you'll build

At SAP Business AI, we are exploring the next frontier of AI on structured business data like graphs, tables and more. Foundation Models on structured data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios. Now, we are pushing further. We want to enable companies across all industries to collaboratively train foundation models and build knowledge graphs.

The Role

As Knowledge Graph Tech Lead (f/m/d), you will own the technical vision and roadmap for SAP's Industry Knowledge Graph (IKG) - a unified, semantically rich representation of business entities, processes, and relationships across SAP applications and customer industries. You provide technical leadership for a team of knowledge engineers, data engineers, and AI scientists, leading through expertise, mentorship, and influence rather than direct people-management responsibility, enabling the modeling of industry data into a production-grade RDF Knowledge Graph for open-source delivery, shaping the IKG into a platform that other workstreams (Multi-Modal Industry Foundation Models and Data Platform) and SAP product teams build on, and pushing the frontier of how Knowledge Graphs and Large Language Models combine to enable the creation of new knowledge at scale.

You move easily between deep technical work - ontologies, SHACL shapes, SPARQL, KG construction pipelines - and shaping the broader IKG architecture and roadmap that several teams across the initiative will execute against.

This is the ideal role for a highly technically focused, ambitious individual with exceptional depth in Knowledge Graphs and a proven track record of shaping and leading large-scale engineering and research efforts. This is a rare opportunity to define the data backbone for one of the very few foundation-model programs of European origin and help shape the future of AI on enterprise data.

• Define and own the architectural and research roadmap for the Industry Knowledge Graph - ontology design, SHACL constraints, KG construction at scale, and the path from prototypes to production and delivery as open-source project.
• Provide technical and thought leadership to a multidisciplinary team of knowledge engineers, data engineers, and AI scientists; set the technical bar, drive hypotheses and experiments, and steer execution from concept through production (without direct people-management responsibility)
• Redefine what end-to-end KG construction means in the age of Agentic AI - from initial modeling to mapping diverse sources all the way to researching joint representations of latent and explicit knowledge.
• Shape the IKG to become part of the OP4I platform with clear interfaces that the MMIFM and SAP product teams build on, with documentation, blueprints and onboarding for downstream consumers
• Push the frontier of Knowledge Graph and Foundation Model integration through agent grounding, agentic knowledge engineering, and the use of the IKG to train better foundation models, partnering with the MMIFM team and product stakeholders.

What you bring

• PhD or Master's degree in Computer Science, Artificial Intelligence, Knowledge Representation, or related disciplines
• Typically 12+ years of relevant industry and/or research experience in Knowledge Graphs, data engineering, AI, or related fields, including experience driving complex initiatives from concept to production
• A strong vision of how KG construction should be done in the age of Agentic AI, demonstrated e.g. by recent academic publications in top tier conferences
• Deep, hands-on expertise in the RDF Knowledge Graph stack (RDF, RDFS, OWL, SHACL, SPARQL) with a track record of taking enterprise Knowledge Graphs from concept to production at scale
• Demonstrated experience leading the technical direction of a KG / data engineering effort - ontology design, KG construction pipelines, and integrating the graph into a platform that other teams build on
• Hands-on experience integrating Knowledge Graphs with LLMs - e.g. graph RAG, KG embeddings, KG-grounded agents, hallucination mitigation
• Knowledge of SAP business data and applications - data models, business objects, extraction interfaces - is a strong plus; broader familiarity with enterprise data (ERP, CRM) is welcome
• Familiarity with the triple-store ecosystem (commercial and open-source: GraphDB, Stardog, Virtuoso, Apache Jena, Blazegraph, Neptune, etc.), SPARQL query optimization, and KG operations at scale is a plus

Where you belong

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Please note that any violation of these guidelines may result in disqualification from the hiring process.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.