Principal Data and Applied Science, HCM Autonomous Suite, Palo Alto (Palo Alto, CA, US, 94304)

SAP
Palo Alto
Workplace: HybridFull timeUSD 1,982,000 - 420,000 annuallyFunction: Communications, PR & CommunityExperience: 8+ yearsEducation: mastersSkills: ["Communication","Stakeholder management","Cross-functional collaboration"]

Build SAP’s “context engine” for AI agents by designing and maintaining enterprise ontologies and semantic models grounded in master data and process semantics. Develop production-ready GenAI and RAG capabilities (embeddings, vector databases, knowledge grounding) and evaluate ML models using real enterprise datasets. Work with cross-functional teams to translate business challenges into deployable AI/ML solutions, leveraging SAP and cloud data platforms.

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FursaFursa
SAP
SAP
2 hours ago

Principal Data and Applied Science, HCM Autonomous Suite, Palo Alto (Palo Alto, CA, US, 94304)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build SAP’s “context engine” for AI agents by designing and maintaining enterprise ontologies and semantic models grounded in master data and process semantics. Develop production-ready GenAI and RAG capabilities (embeddings, vector databases, knowledge grounding) and evaluate ML models using real enterprise datasets. Work with cross-functional teams to translate business challenges into deployable AI/ML solutions, leveraging SAP and cloud data platforms.
Location: Palo Alto
Workplace: Hybrid
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Design and maintain enterprise ontologies and semantic models that enable AI agents to understand enterprise business master data and process relationships.
  • •Build and scale AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding for accurate agent behavior.
  • •Develop GenAI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and structured/unstructured data.
  • •Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.
  • •Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into deployable AI solutions.
Travel: Low travel

Pay and Benefits

Salary: USD 1,982,000 - 420,000 annually

Key Requirements

  • •8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science.
  • •Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
  • •Hands-on experience designing enterprise ontologies and semantic models, including proficiency in at least one graph query language (SPARQL, Cypher, or GQL).
  • •Hands-on experience with GenAI systems (RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding).
  • •Strong Python and SQL skills with production-grade development practices; experience with ML libraries (PyTorch, TensorFlow, or scikit-learn) and deploying AI/ML in production.
Experience:8+ years
Education:Master's in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
Skills:CommunicationStakeholder managementCross-functional collaboration
Tech Stack:PythonSQLPyTorchTensorFlowScikit-learnRAGEmbeddingsVector databasesGraph query languagesSPARQLCypherGQLRDFRDFSOWLSKOSSHACLDatabricksSAP DatasphereSAP HANA Cloud

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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