Senior Data Knowledge Engineer - Knowledge Graphs & Generative AI
SAP
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
Overview
SAP is looking for a Senior Data Knowledge Engineer to design, develop, and manage large-scale Knowledge Graphs integrated with Generative AI. You will work with cutting edge AI technologies and collaborate with domain specialists, knowledge and data engineering teams, and various stakeholders to drive business impact across SAP products and services.
What You Will Do
- Contribute to the development and integration of Knowledge Graphs with Generative AI applications.
- Design and manage the construction of large-scale Knowledge Graphs from structured and unstructured data.
- Collaborate with domain specialists and data owners to address business use cases.
- Make critical technology decisions and contribute to applied research with medium- to long-term impact.
- Present and discuss benefits of Knowledge Graphs and propose innovative use cases.
What You Bring
- PhD or Master’s in computer science, AI, physics, mathematics, or related discipline.
- 5+ years of professional experience with Knowledge Graphs and semantic modeling.
- Expertise in RDF stack (RDF, OWL, SHACL, SPARQL) and property graph solutions such as neo4j.
- Strong programming skills in Python and a hands-on approach to data challenges.
- Experience advising stakeholders and developing enterprise Knowledge Graph architectures.
Team & Culture
Join SAP's international AI organization and be part of a team that values wellbeing, inclusion, constant learning, and diverse backgrounds to help shape the future of business AI.
Key Skills/Competency
- Knowledge Graphs
- Generative AI
- RDF
- OWL
- SHACL
- SPARQL
- Data Engineering
- Python
- Semantic Modeling
- Enterprise Architecture
How to Get Hired at SAP
- Customize Resume: Align your experience with Knowledge Graphs and AI.
- Highlight Projects: Emphasize successful data engineering initiatives.
- Research SAP: Familiarize with SAP's mission and innovations.
- Prepare Examples: Use case studies on semantic modeling benefits.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background