Finance AI & Data Science Architect

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

Job summary

SAP is seeking a Principal Data and Applied Scientist for its Finance and Spend Autonomous Suite in Palo Alto. You will design and maintain enterprise ontologies, build AI capabilities, and ground solutions in SAP data models across Order-to-Cash, Procure-to-Pay, and related processes.

You will collaborate with diverse teams to translate business challenges into scalable AI solutions, leveraging Databricks, SAP Datasphere, and major cloud platforms.

Qualifications

• 8+ years in knowledge engineering, semantic data systems, applied AI or data science.
• Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field.
• Hands-on experience designing enterprise ontologies and semantic models.
• Strong Python and SQL with production-grade practices; ML libraries experience.
• Experience with Databricks and at least one major cloud (AWS/Azure/GCP).

Responsibilities

• Build and scale enterprise ontologies and semantic models for AI agents.
• Develop AI capabilities including RAG pipelines, embeddings, and knowledge grounding.
• Ground AI solutions in SAP data models and metadata structures across business processes.
• Collaborate with product, engineering, and customer-facing teams from concept to deployment.
• Apply machine learning and statistical modeling to real-world enterprise datasets.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Data science

Python

SQL

ML in production

Cloud environments

Education

Master's in CS or related

PhD in CS or related

Tools

SPARQL

Cypher

GQL

Databricks

SAP Datasphere

SAP HANA Cloud

SAP Graph API

Job description

SAP is seeking a Principal Data and Applied Scientist for its Finance and Spend Autonomous Suite in Palo Alto. You will design and maintain enterprise ontologies, build AI capabilities, and ground solutions in SAP data models across Order-to-Cash, Procure-to-Pay, and related processes.

You will collaborate with diverse teams to translate business challenges into scalable AI solutions, leveraging Databricks, SAP Datasphere, and major cloud platforms.