SAP
Principal AI Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Walldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Hallbergmoos, München, Garching bei München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SASAP
Research Fellow in the Global Content Group (GCG) Engineering team(m/w/x)
St. Leon-Rot
Vollzeit, Teilzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Matura
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- RDF
- OWL
- SPARQL
- Python
- machine learning
- embeddings
- graph neural networks
- graph-based learning methods
- knowledge graph frameworks
- ML libraries
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
- Accessibility accommodations
Team Events & Ausflüge
- Team support
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SAP erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- SAP
Senior AI Architect(m/w/x)
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Senior AI Architect(m/w/x)
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Principal AI Architect & Advisor(m/w/x)
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SAP AI Customer Adoption Expert Advisor(m/w/x)
Vollzeitmit HomeofficeSeniorWalldorf
SASAP
Research Fellow in the Global Content Group (GCG) Engineering team(m/w/x)
St. Leon-Rot
Vollzeit, Teilzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Matura
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- RDF
- OWL
- SPARQL
- Python
- machine learning
- embeddings
- graph neural networks
- graph-based learning methods
- knowledge graph frameworks
- ML libraries
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
- Accessibility accommodations
Team Events & Ausflüge
- Team support
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SAP erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Noch nicht perfekt?
- SAP
Principal AI Architect(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenWalldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Hallbergmoos, München, Garching bei München - SAP
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Vollzeitmit HomeofficeSeniorWalldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Garching bei München - SAP
Senior AI Architect(m/w/x)
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Vollzeitmit HomeofficeBerufserfahrenWalldorf, Hamburg, Berlin, Ratingen, Eschborn, Gerlingen, Hallbergmoos, Garching bei München - SAP
SAP AI Customer Adoption Expert Advisor(m/w/x)
Vollzeitmit HomeofficeSeniorWalldorf