Chief Enterprise AI & Data Science Architect

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

Job summary

SAP is building the semantic and contextual foundation for AI across enterprise data. You will design ontologies, harmonize data across SAP and non-SAP sources, and translate business challenges into practical AI use cases.

You will work with cloud data platforms and collaborate across product, engineering, and customer teams to deploy scalable AI solutions. The role demands deep expertise in ML/AI, data modeling, and enterprise data semantics, with a strong emphasis on production readiness and

Qualifications

• Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative field.

Responsibilities

• Build the semantic and contextual foundation of SAP's AI across enterprise data.
• Design and maintain enterprise ontologies and semantic models for interoperability.
• Translate business challenges into AI use cases and concrete designs.
• Develop end-to-end ML/AI solutions from data prep to production.
• Collaborate with product, engineering, and customer teams to scale solutions.

Skills

Python

SQL

Machine Learning

LLMs

Databricks

Cloud Platforms

Communication

Agile

Data Modeling

Ontology

SPARQL

Cypher

GQL

Education

Master's degree or PhD in Computer Science or related field

Tools

SAP Datasphere

SAP HANA Cloud

SAP Graph API

Open Knowledge Graph/OWL

Cypher

Job description

SAP is building the semantic and contextual foundation for AI across enterprise data. You will design ontologies, harmonize data across SAP and non-SAP sources, and translate business challenges into practical AI use cases.

You will work with cloud data platforms and collaborate across product, engineering, and customer teams to deploy scalable AI solutions. The role demands deep expertise in ML/AI, data modeling, and enterprise data semantics, with a strong emphasis on production readiness and