We help the world run better
At SAP, we keep it simple: 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, excellent benefits, and a team that wants you to grow and
succeed.
The context engine that makes AI enterprise ready.
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
part of our Data and Applied Science team, 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 Data and Applied Science team will 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
will help build and scale the layer that makes that possible. This may include
the following:
* Leverage deep SAP data and process understanding — including SAP data models,
metadata structures, and end-to-end business process semantics across
Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce — to
build AI and semantic data solutions using SAP master data domains, SAP One
Domain Model, SAP Graph API, and SAP Business Accelerator Hub assets.
* Design and maintain enterprise ontologies and semantic models to improve
interoperability, entity consistency, and business context across SAP and
non-SAP data landscapes, harmonizing sources such as Salesforce, Workday,
ServiceNow, MES/IoT systems, and extern
📌 Data Science Chief Expert (India)
🏢 SAP
📍 India