Senior AI Scientist — HCM Context Engine

SAP; Palo Alto (CA); On-site; USD 149,000 - 306,000; Full time

Job summary

SAP is advancing enterprise AI with a focus on agentic technologies grounded in SAP data and business processes. The role centers on building semantic models, knowledge graphs, and RAG-based AI within SAP’s product and data platforms.

You will collaborate with product, engineering, and client-facing teams to translate complex business challenges into scalable AI solutions that operate in production environments.

Qualifications

• 5+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
• Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
• Hands-on experience designing enterprise ontologies and semantic models; proficiency in graph query languages (SPARQL, Cypher, or GQL)
• Hands-on experience with GenAI systems, RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding
• Strong Python and SQL skills with ML libraries such as PyTorch, TensorFlow, or scikit-learn
• Experience deploying and operating AI/ML solutions in production and cloud environments

Responsibilities

• Design and maintain enterprise ontologies and semantic models for AI agents across SAP ecosystems.
• Build AI capabilities including RAG pipelines, embeddings, vector databases, and knowledge grounding.
• Develop AI using enterprise data, knowledge graphs, and business process semantics.
• Ground AI solutions in SAP data models and blueprints across core processes.
• Collaborate with product, engineering, and business teams to translate challenges into AI solutions.
• Apply analytics and ML to real-world enterprise datasets to evaluate and improve models.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Python

SQL

ML libraries

Education

Master's or PhD in CS/Applied Math/Statistics/Engineering

Tools

Databricks

SAP Datasphere

SAP HANA Cloud Knowledge Graph Engine

GCP

AWS

Azure

Job description

SAP is advancing enterprise AI with a focus on agentic technologies grounded in SAP data and business processes. The role centers on building semantic models, knowledge graphs, and RAG-based AI within SAP’s product and data platforms.

You will collaborate with product, engineering, and client-facing teams to translate complex business challenges into scalable AI solutions that operate in production environments.