SAP
Principal AI Architect(m/w/x)
Full-timeWith HomeofficeExperienced
Walldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Hallbergmoos, München, Garching bei München
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SASAP
Research Fellow in the Global Content Group (GCG) Engineering team(m/w/x)
St. Leon-Rot
Full-time, Part-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Designing and building an Enterprise Context Graph with AI-powered experiences for SAP. Deep expertise in ontology engineering and semantic web technologies required. Constant learning and skill growth opportunities.
Requirements
- PhD candidate or postdoctoral researcher in relevant field
- Deep expertise in ontology engineering and semantic web technologies
- Design, formalize, and reason about knowledge models
- Strong data science background
- Experience with machine learning, embeddings, GNNs, or graph learning
- Solid programming skills in Python
- Experience with knowledge graph frameworks or ML libraries (plus)
- Research track record in agentic AI, memory architectures, or continual learning
- Publications in relevant areas (ideally)
- Ability to drive independent research
- Translate findings into working prototypes
- Good communication skills in English (written and spoken)
- German language skills (plus)
- Cover letter
- Resume in table form
- School leaving certificates
- Certificate of enrollment
- Current university transcript of records
- Copies of academic degrees earned
- References from former employers (including internships)
- Description of foreign language skills
- Description of computer programs / programming languages skills
Tasks
- Design and build an Enterprise Context Graph
- Integrate business data into a unified context graph
- Deliver AI-powered experiences
- Research continuous incremental learning approaches
- Prototype methods for context graph evolution
- Apply ontology engineering to model interaction context
- Develop semantically rich and queryable graph structures
- Combine data science with ontology design
- Create graph-based memory representations
- Support reasoning, retrieval, and learning
- Collaborate with global software engineers, data scientists, and researchers
- Document research findings
- Present research contributions
- Participate in internal knowledge-sharing
Work Experience
- approx. 1 - 4 years
Education
- High school diploma
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- RDF
- OWL
- SPARQL
- Python
- machine learning
- embeddings
- graph neural networks
- graph-based learning methods
- knowledge graph frameworks
- ML libraries
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Team Events
- Team support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
Research Fellow in the Global Content Group (GCG) Engineering team(m/w/x)
St. Leon-Rot
Full-time, Part-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Designing and building an Enterprise Context Graph with AI-powered experiences for SAP. Deep expertise in ontology engineering and semantic web technologies required. Constant learning and skill growth opportunities.
Requirements
- PhD candidate or postdoctoral researcher in relevant field
- Deep expertise in ontology engineering and semantic web technologies
- Design, formalize, and reason about knowledge models
- Strong data science background
- Experience with machine learning, embeddings, GNNs, or graph learning
- Solid programming skills in Python
- Experience with knowledge graph frameworks or ML libraries (plus)
- Research track record in agentic AI, memory architectures, or continual learning
- Publications in relevant areas (ideally)
- Ability to drive independent research
- Translate findings into working prototypes
- Good communication skills in English (written and spoken)
- German language skills (plus)
- Cover letter
- Resume in table form
- School leaving certificates
- Certificate of enrollment
- Current university transcript of records
- Copies of academic degrees earned
- References from former employers (including internships)
- Description of foreign language skills
- Description of computer programs / programming languages skills
Tasks
- Design and build an Enterprise Context Graph
- Integrate business data into a unified context graph
- Deliver AI-powered experiences
- Research continuous incremental learning approaches
- Prototype methods for context graph evolution
- Apply ontology engineering to model interaction context
- Develop semantically rich and queryable graph structures
- Combine data science with ontology design
- Create graph-based memory representations
- Support reasoning, retrieval, and learning
- Collaborate with global software engineers, data scientists, and researchers
- Document research findings
- Present research contributions
- Participate in internal knowledge-sharing
Work Experience
- approx. 1 - 4 years
Education
- High school diploma
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- RDF
- OWL
- SPARQL
- Python
- machine learning
- embeddings
- graph neural networks
- graph-based learning methods
- knowledge graph frameworks
- ML libraries
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Team Events
- Team support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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