Data and Applied Science Expert

Sap India Private Limited; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

SAP India Private Limited’s Data Labs within the CX Office of the CTO seeks a Data and Applied Science Expert to design ontologies, semantic models, and AI capabilities across SAP ecosystems. You will ground AI in real enterprise data, integrate with Databricks, SAP Datasphere, and cloud platforms, and build reliable RAG pipelines and embeddings.

Collaborating with product and engineering teams, you will translate business challenges into scalable AI solutions and contribute to reusable ML

Qualifications

• Experience designing enterprise ontologies and semantic models.
• Hands-on with GenAI systems, RAG, embeddings, and semantic retrieval.
• Strong Python and SQL in production-grade environments.
• Experience deploying AI/ML solutions in production with lifecycle support.

Responsibilities

• Design and maintain ontologies and semantic models across enterprise landscapes.
• Build AI capabilities including RAG pipelines and embeddings.
• Ground AI solutions in SAP data models and real-world datasets.
• Collaborate with product, engineering, and business teams in agile settings.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Python

SQL

ML libraries (PyTorch, TensorFlow, sci

Big data & cloud (Databricks, AWS/AZ/G

Education

Master’s or PhD in CS/Applied Math/Stats/Engineering

Tools

Databricks

SAP Datasphere

SAP HANA Cloud Knowledge Graph Engine

GCP/AWS/Azure

Graph query languages (SPARQL/Cypher/GQL)

Job description

Data and Applied Science Expert - SAP Data Labs - CX Team

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, great benefits, and a team that wants you to grow and succeed.

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.

Leverage SAP’s deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality.

Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.

Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement.

Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.

What you’ll bring

• 8 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
• 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; proficiency in at least one graph query language (SPARQL, Cypher, or GQL); understanding of trade-offs between RDF triple stores and property graph databases.
• Hands-on experience with modern 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 such as PyTorch, TensorFlow, or scikit-learn.
• Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement.
• Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP).
• Excellent communication and stakeholder management skills, with the ability to work cross-functionally in agile environments.

Preferred Qualifications

• Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end.
• Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub.
• Deep expertise across the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL).
• Deep expertise in machine learning and deep learning, with experience developing, evaluating, and improving models on real-world datasets.
• Experience with agentic AI, reasoning frameworks, planning, orchestration, tool use, or multi-agent architectures.
• Experience contributing to reusable AI platforms, foundation model initiatives, or shared AI services adopted across multiple product areas.
• Ability to design upper-level and mid-level ontologies aligned with industry standards and apply semantic interoperability frameworks across complex application landscapes.
• Experience applying AI and semantic modeling to CX or Retail use cases such as personalization, pricing, product discovery, demand forecasting, or customer data unification across B2B and B2C contexts.

Where you belong

You will be part of Data Labs within the CX Office of the CTO, a strategic organization embedded in SAP Customer Experience. We define the AI strategy and architecture vision for next-generation CX solutions and ensure seamless integration across the SAP ecosystem. Our team works collaboratively across SAP product units, engages deeply in technology strategy, and partners closely with customers and external communities. We strive to create meaningful impact through world-class architecture, innovation, and industry-driven expertise.

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process: For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid | Experience Level Senior Level