Senior Enterprise AI & Data Science Architect

Socket.dev; Palo Alto (CA); Hybrid; USD 274,000 - 609,000; Full time

Job summary

SAP is seeking a seasoned data science leader to drive semantic AI foundations across enterprise data, ontologies, and knowledge graphs. You will shape how AI agents understand business processes by leveraging SAP data models and advanced ML techniques.

Join a collaboration-focused team building AI capabilities with SAP Datasphere, HANA Cloud, and cloud platforms, partnering with product, engineering, and customers to deliver scalable, production-ready solutions.

Qualifications

• Master’s degree or PhD in Computer Science or related quantitative field.
• 10+ years experience in ML, DL, and AI with real-world datasets and feature engineering.
• 10+ years experience in ML/AI-related roles in industry or research.
• Strong Python and SQL including production-grade development and ML libs (PyTorch, TensorFlow, scikit-learn).
• Experience deploying AI/ML solutions in production with lifecycle support.
• Experience with big data infra and cloud environments (Databricks, AWS, Azure, GCP).
• Excellent communication and collaboration in Agile environments; working with SAP customers/products.
• Deep knowledge of SAP data models, metadata, and business processes end-to-end.
• Hands-on experience with SAP data/platform stack (Datasphere, HANA Cloud Knowledge Graph, One Domain Model).
• Experience designing enterprise ontologies using OWL, RDF/RDFS, SKOS, SHACL; SPARQL, Cypher, GQL.

Responsibilities

• Translate business challenges into concrete AI use cases and designs.
• Design, develop, evaluate, and operationalize end-to-end ML/AI solutions.
• Work with cloud/data platforms to support reliable AI workflows.
• Partner with product, engineering, business, and customer teams to ensure scalability.
• Develop AI capabilities using enterprise data, knowledge graphs, and process intelligence.
• Contribute to reusable AI platforms and foundation model initiatives.
• Evaluate data semantics mapping to ensure data quality and interoperability.

Skills

Python

SQL

PyTorch

TensorFlow

Cloud platforms

Data modeling

Communication

Agile

Education

Master’s degree

Tools

Databricks

SAP Datasphere

SAP HANA Cloud

AWS

Azure

Google Cloud Platform

Job description

SAP is seeking a seasoned data science leader to drive semantic AI foundations across enterprise data, ontologies, and knowledge graphs. You will shape how AI agents understand business processes by leveraging SAP data models and advanced ML techniques.

Join a collaboration-focused team building AI capabilities with SAP Datasphere, HANA Cloud, and cloud platforms, partnering with product, engineering, and customers to deliver scalable, production-ready solutions.