Enterprise AI Scientist — Semantic Data & Ontologies

SAP; Palo Alto (CA); On-site; USD 274,000 - 609,000; Full time

Job summary

SAP is seeking a senior AI architect in Palo Alto to lead the semantic and contextual AI foundations. You will work with enterprise data, knowledge graphs, and SAP platforms to build scalable AI solutions across core business processes.

Join a collaborative team, shape enterprise AI standards, and drive production deployments using SAP Datasphere, HANA Cloud, and related tools. Strong leadership and cross-functional collaboration are essential.

Qualifications

• Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative fields.
• 10+ years of experience to include deep expertise in machine learning, deep learning, statistical modeling, generative AI, and LLMs, with hands-on experience developing, evaluating, and improving models using real-world datasets — including data preprocessing, feature engineering, and experimentation — and strong analytical and mathematical modeling skills.
• 10+ years of experience in machine learning, data science, applied AI, AI research, knowledge engineering, or semantic data systems in industry, research labs, or advanced academic environments.
• Strong Python and SQL skills, including production-grade Python development and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
• Demonstrated experience of deploying, shipping, and operating AI or machine learning solutions in production environments, including production handoff and lifecycle support.
• Experience with big data infrastructure, data processing and transformation tools such as Databricks, and cloud environments such as AWS, Azure, or Google Cloud Platform.
• Excellent communication, collaboration, and customer-facing skills, with significant experience in agile development environments and a strong curiosity for exploring new AI techniques and their practical applications for SAP customers and products.
• Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end, including how process semantics map to underlying business objects and datasets.
• Hands-on experience with the SAP data and AI platform stack — including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub — with working knowledge of SAP master data domains and Master Data Governance constructs.
• Hands-on experience designing and maintaining enterprise ontologies using OWL, RDF/RDFS, SKOS, and SHACL, with proficiency in SPARQL, Cypher, and GQL, and experience evaluating trade-offs between RDF triple stores and labeled property graph databases.
• Experience building entity resolution, deduplication, and identity stitching pipelines across SAP and non-SAP systems, with proven ability to harmonize data into a unified semantic layer using federation, virtualization, replication, and shared ontology mapping approaches.
• Understanding data product and data mesh principles, including semantic contracts and governed self-service consumption.
• Proven experience translating abstract business challenges into concrete AI solutions, delivering from concept through production deployment, production handoff, and business adoption.
• Experience working with cross-functional stakeholders — including product, engineering, business, and customer-facing teams — in agile software development environments and enterprise product organizations.
• Experience building AI capabilities using enterprise business data, knowledge graphs, or business process intelligence.

Responsibilities

• Design and build semantic data solutions using SAP data models and domains.
• Develop enterprise ontologies and semantic models across SAP and non-SAP data landscapes.
• Work with cloud data platforms to support reliable AI workflows.
• Translate business challenges into AI use cases and designs.
• Design, develop, evaluate, and deploy end-to-end ML/AI solutions.
• Apply advanced ML, DL, modeling, data mining, optimization.
• Develop AI capabilities including generative AI and LLMs.
• Partner with product, engineering, business and customer-facing teams to ensure scalable solutions.

Skills

Python

SQL

Machine learning

Communication

Agile

Cloud computing

Data modeling

Knowledge graphs

Ontology design

SPARQL

Education

Master's degree or PhD in Computer Science

Tools

Databricks

SAP Datasphere

SAP HANA Cloud

SAP Graph API

SPARQL

Cypher

GQL

Job description

SAP is seeking a senior AI architect in Palo Alto to lead the semantic and contextual AI foundations. You will work with enterprise data, knowledge graphs, and SAP platforms to build scalable AI solutions across core business processes.

Join a collaborative team, shape enterprise AI standards, and drive production deployments using SAP Datasphere, HANA Cloud, and related tools. Strong leadership and cross-functional collaboration are essential.