Data and Applied Science Expert - SAP Data Labs -CX Team (Bangalore, IN, 560066)

SAP
Bengaluru
Workplace: HybridFull timeFunction: Laboratory & Clinical OperationsExperience: 10+ yearsEducation: mastersSkills: ["Communication","Stakeholder management","Cross-functional collaboration","Agile collaboration"]

Build and scale the semantic “context engine” that grounds SAP’s enterprise AI agents in real business master data, process flows, and domain relationships. Design enterprise ontologies and semantic models, implement production AI capabilities such as RAG with embeddings and vector databases, and develop generative/LLM solutions using knowledge graphs and business process intelligence. Work across teams to deploy, operate, and continuously improve scalable AI workflows on cloud and data platforms.

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FursaFursa
SAP
SAP
2 hours ago

Data and Applied Science Expert - SAP Data Labs -CX Team (Bangalore, IN, 560066)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale the semantic “context engine” that grounds SAP’s enterprise AI agents in real business master data, process flows, and domain relationships. Design enterprise ontologies and semantic models, implement production AI capabilities such as RAG with embeddings and vector databases, and develop generative/LLM solutions using knowledge graphs and business process intelligence. Work across teams to deploy, operate, and continuously improve scalable AI workflows on cloud and data platforms.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Laboratory & Clinical Operations
Seniority: Mid level

Key Responsibilities

  • •Design, build, and scale enterprise ontologies and semantic models that enable accurate, grounded understanding for SAP AI agents.
  • •Build AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding for production reliability.
  • •Develop generative AI and LLM-based solutions using enterprise business data, knowledge graphs, and business process intelligence.
  • •Leverage SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce.
  • •Collaborate across product, engineering, business, and customer-facing teams to translate challenges into deployed AI solutions and continuous improvements.
Travel: Low travel

Key Requirements

  • •10+ 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 with a 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; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
Experience:10+ yearsEnterprise AIMachine learningGenAI
Education:Master's in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
Skills:CommunicationStakeholder managementCross-functional collaborationAgile collaboration
Tech Stack:PythonSQLPyTorchTensorFlowScikit-learnSPARQLCypherGQLRDFRDFSOWLSKOSSHACLRAGEmbeddingsVector databasesKnowledge graphsDatabricksSAP 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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