We help the world run better
At SAP, we keep it straightforward: you bring your best to us, and we'll bring out the
best in you. We're builders touching over 20 industries and 80% of global
commerce, and we need your unique talents to help shape what's next. The work is
challenging – but it matters. You'll find a place where you can be yourself,
prioritize your wellbeing, and truly belong. What's in it for you? Constant
learning, skill growth, great benefits, and a team that wants you to grow and
succeed.

Anyone can build an AI agent. What makes SAP's agents different is accuracy
grounded in the richest enterprise data and process context in the world. As a
Data and Applied Scientist at SAP, you'll build the context engine grounded in
SAP’s Business ontology: the semantic infrastructure that transforms raw
business data into the knowledge layer powering SAP's AI agents and assistants.

What you'll build

The semantic and contextual foundation of SAP's AI. While generic AI
agents operate on surface-level patterns, SAP agents are accurate because they




understand the real semantics of enterprise business master data, process flows,
and domain relationships. You'll build and scale the layer that makes that
possible.

* Design and maintain enterprise ontologies and semantic models that give AI
agents accurate, grounded understanding of SAP and connected business
landscapes harmonizing data from SAP, Salesforce, Workday, ServiceNow,
MES/IoT systems, and external providers into unified semantic layers.

* Build AI capabilities including RAG pipelines, embeddings, vector databases,
and enterprise knowledge grounding that make SAP's agents accurate and
reliable in production.

* Develop AI capabilities including generative AI and LLM-based solutions using
enterprise business data, knowledge graphs, business process intelligence,
and other structured and unstructured data assets.

* Leverage SAP's deep data and process context including SAP data models,
metadata structures, and busin

📌 Data Science Expert- Finance (India)
🏢 SAP
📍 India