Principal HCM Data & AI Scientist - Autonomous Suite

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

Job summary

SAP in Palo Alto is seeking a Data and Applied Scientist to design enterprise ontologies and semantic models that ground SAP’s AI in real business data. You’ll shape knowledge graphs, RAG pipelines, embeddings, and grounded AI that operates across Order-to-Cash, Procure-to-Pay, and Plan-to-Produce.

Join a cross-functional team to translate complex business challenges into scalable AI solutions, build production-ready models, and partner with product, engineering, and data teams to continuously

Qualifications

• 8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry or research.
• Advanced degree (Master/PhD) in CS, math, statistics, engineering or related field.
• Hands-on with enterprise ontologies, graph data models and at least one graph query language.
• Experience with GenAI systems, embeddings, vector databases, and semantic grounding.
• Strong Python and SQL skills with production-grade ML libraries and cloud experience.

Responsibilities

• Design and maintain ontologies and semantic models for enterprise AI grounding.
• Build AI capabilities including RAG pipelines, embeddings, and knowledge grounding for SAP agents.
• Develop ML/AI solutions using enterprise data, knowledge graphs and process semantics.
• Collaborate with product, engineering, and data teams to deploy and improve AI solutions.

Skills

Knowledge engineering

Semantic data

Applied AI

Data science

Python

SQL

Big data

Communication

Education

Master's or PhD in CS/Math/Engineering

Tools

SPARQL

Cypher

GQL

PyTorch

TensorFlow

scikit-learn

Databricks

SAP Datasphere

SAP HANA Cloud Knowledge Graph Engine

Job description

SAP in Palo Alto is seeking a Data and Applied Scientist to design enterprise ontologies and semantic models that ground SAP’s AI in real business data. You’ll shape knowledge graphs, RAG pipelines, embeddings, and grounded AI that operates across Order-to-Cash, Procure-to-Pay, and Plan-to-Produce.

Join a cross-functional team to translate complex business challenges into scalable AI solutions, build production-ready models, and partner with product, engineering, and data teams to continuously