Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Develop and manage Knowledge Graphs to enhance AI applications and business insights.
- Arbeitgeber: Join SAP, a leader in business application software, focused on innovation and collaboration.
- Mitarbeitervorteile: Enjoy a caring team environment, flexible work models, and various benefits tailored for you.
- Warum dieser Job: Be part of a mission to revolutionize business operations with cutting-edge AI technology.
- Gewünschte Qualifikationen: PhD or Master's in relevant fields with 5+ years of experience in Knowledge Graphs.
- Andere Informationen: Work in a diverse, international team committed to personal development and inclusion.
Senior Knowledge Engineer (f/m/d): SAP Business AI – SAP Knowledge Graph
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. 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.
What you’ll do
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. 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 and to deliver distinctive generative AI solutions to our customers.
The Role
- Contribute to the development of Knowledge Graphs as a source of explicit knowledge across multiple SAP domains.
- Integrate Knowledge Graphs in downstream tasks such as Generative AI applications to address hallucinations and insight generation applications.
- Design, develop, and manage the construction of large-scale Knowledge Graphs using business data alongside Knowledge and Data engineering teams and stakeholders.
- Collaborate closely with various domain specialists and data owners to understand their requirements on Knowledge Graph modeling and provisioning.
- Make critical design decisions regarding the selection and implementation of underlying technologies.
- Contribute to thought leadership in the field of Generative AI combined with Knowledge Graphs.
- Present and discuss how Knowledge Graphs can benefit business use cases, as well as proactively propose new cases to relevant stakeholders.
What you bring
- PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant disciplines.
- 5+ years of related professional experience with a deep background in Knowledge Graphs and their application in a business context.
- Experience in semantic / knowledge modeling.
- Working proficiency in the RDF Knowledge Graph technology stack and in property graph-based solutions (e.g., neo4j).
- Experience mapping business operations into clear data models and organized schemas.
- Experience with Enterprise Knowledge Graph implementations and architecture.
- Knowledge of latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models.
- Solid knowledge in Artificial Intelligence and data science, specifically graph-based approaches.
- Fluent in Python and the ability to convert ideas into productive code.
- Ability to advise diverse stakeholders on how to apply an enterprise Knowledge Graph to business use cases.
- 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.
Meet your team
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 and opportunities for personal development abound.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. SAP has evolved to become a market leader in end-to-end business application software and related services. We are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone feels included and can run at their best. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with disabilities.
Requisition ID: 411740 | Work Area: Software-Design and Development | Expected Travel: 0 – 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: Walldorf or Berlin | #LI-Hybrid
#J-18808-Ljbffr
Senior Knowledge Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph Arbeitgeber: SAP SE
Kontaktperson:
SAP SE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Knowledge Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph
✨Tip Number 1
Familiarize yourself with the latest trends in Knowledge Graphs and Generative AI. This will not only help you understand the challenges SAP is addressing but also allow you to contribute meaningfully during discussions with stakeholders.
✨Tip Number 2
Network with professionals in the field of AI and Knowledge Graphs. Attend relevant conferences or webinars to connect with industry experts, which can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied Knowledge Graphs in a business context. Being able to articulate your experience will demonstrate your expertise and fit for the role.
✨Tip Number 4
Showcase your collaboration skills by highlighting past experiences where you worked effectively in cross-cultural teams. SAP values strong communication and teamwork, so be ready to share relevant stories.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Knowledge Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your relevant experience in Knowledge Graphs and AI.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 5+ years of professional experience related to Knowledge Graphs, semantic modeling, and any specific technologies mentioned, such as RDF or neo4j.
Showcase Your Skills: Demonstrate your proficiency in Python and your ability to convert ideas into productive code. Include examples of past projects where you successfully applied these skills in a business context.
Communicate Effectively: Since strong communication and collaboration skills are essential for this role, ensure that your application reflects your ability to work effectively in cross-cultural teams. Use clear and concise language throughout your documents.
Wie du dich auf ein Vorstellungsgespräch bei SAP SE vorbereitest
✨Showcase Your Expertise in Knowledge Graphs
Be prepared to discuss your experience with Knowledge Graphs in detail. Highlight specific projects where you've successfully implemented them, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of AI Integration
Since the role involves integrating Knowledge Graphs with Generative AI applications, be ready to explain how you would approach this integration. Discuss any relevant technologies or methodologies you have used in the past.
✨Communicate Effectively with Stakeholders
Strong communication skills are essential for this position. Prepare examples of how you've collaborated with diverse teams and stakeholders to gather requirements and deliver solutions that meet their needs.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest trends in Knowledge Graphs and Generative AI. Be ready to discuss recent developments and how they could impact SAP's business applications, showcasing your thought leadership in the field.
