Principal AI Ontologies & Semantics Scientist

SAP; Palo Alto (CA); On-site; USD 198,000 - 420,000; Full time

Job summary

SAP is building the semantic foundation for AI agents that understand enterprise data and processes. You will design ontologies, implement semantic models, and scale AI capabilities across SAP’s data platforms, aligning with core business semantics and cloud-native workflows.

You will collaborate across product and engineering teams, enabling trusted AI solutions in production while advancing knowledge grounding and data interoperability at enterprise scale.

Qualifications

• 8+ years in knowledge engineering, semantic data systems, applied AI, or data science.
• Master's or PhD in CS, applied math, statistics, engineering, or related field.
• Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language (SPARQL, Cypher, or GQL).
• Hands-on experience with GenAI systems including RAG, embeddings, vector databases, and enterprise knowledge grounding.
• Strong Python and SQL skills with production-grade ML libraries and deployment practices.
• Proven track record deploying and operating AI/ML solutions in production and working with cloud environments.

Responsibilities

• Design and maintain enterprise ontologies and semantic models.
• Build AI capabilities including RAG pipelines, embeddings, and vector databases.
• Develop AI solutions using enterprise data, knowledge graphs, and process intelligence.
• Collaborate with product, engineering, and business teams from concept to deployment.
• Apply ML and statistical modeling to real-world enterprise datasets.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Data science

Graph databases

Python

SQL

ML libraries

ML deployment

Cloud platforms

Education

Master's or PhD in CS/Math/Engineering

Tools

SPARQL

Cypher

GQL

Databricks

SAP Datasphere

HANA Cloud

AWS

Azure

GCP

Job description

SAP is building the semantic foundation for AI agents that understand enterprise data and processes. You will design ontologies, implement semantic models, and scale AI capabilities across SAP’s data platforms, aligning with core business semantics and cloud-native workflows.

You will collaborate across product and engineering teams, enabling trusted AI solutions in production while advancing knowledge grounding and data interoperability at enterprise scale.