Responsibilities

AI Native SAP Application Build

- Design and build ABAP Cloud applications that embed LLM driven intelligence into SAP business processes.

- Implement AI enabled SAP extensions using RESTful ABAP Programming Model (RAP), event driven patterns, and cloud native architectures.

- Develop clean, testable ABAP code that integrates seamlessly with AI services and enterprise APIs.

Agentic &

- LLM Integration

- Implement agentic workflows: tools, planners, memory, orchestration, and evaluation loops integrated with SAP processes.

- Integrate LLMs, embeddings, and retrieval pipelines (RAG) with ABAP Cloud services for contextual, grounded responses.

- Design prompt templates, grounding strategies, fallback logic, and safety boundaries suitable for enterprise SAP use cases.

Data, Retrieval &

- Context

- Build and integrate retrieval pipelines using SAP and non SAP data sources (business objects, CDS views, documents, events).

- Implement chunking, indexing, embeddings,



and context assembly to support production grade RAG scenarios.

- Ensure factuality, traceability, and explainability in AI driven SAP workflows.

Quality, Safety &

- Reliability

- Implement evaluation frameworks (offline and online) for AI behaviors integrated with SAP processes.

- Design guardrails for authorization, data privacy, action boundaries, and error handling.

- Build observability into AI enabled SAP applications (telemetry, logging, failure analysis).

Rapid Experimentation &

- Scale Out

- Prototype quickly, demo frequently, and iterate based on business feedback.

- Move AI prototypes into enterprise grade SAP production systems with performance, security, and compliance in mind.

- Continuously refine AI behavior, prompts, and orchestration strategies.

📌 SAP ABAP Cloud- 7713 (Bengaluru)
🏢 RNR Global Certification
📍 Bengaluru