7+ years of hands-on SAP experience (S/4HANA, BTP ecosystem).
Knowledge of BTP: subaccounts, entitlements, role collections, trust configuration, etc.; SAP HANA Cloud DB (schemas, HDI containers, SQL, data modeling); BTP access management (IAS, IPS, XSUAA, principal propagation); CAP (Cloud Application Programming) model or BAS (Business Application Studio).

AI / ML / GenAI Capabilities
Valuable understanding of LLM concepts (prompt engineering, embeddings, fine-tuning, tokenization).
Hands-on or solid conceptual knowledge of RAG (Retrieval-Augmented Generation) architecture.
Experience or working knowledge of SAP AI Core, AI Launchpad, and Document AI / Document Information Extraction.
Familiarity with Joule / Joule Studio for AI agent development (or robust willingness to ramp up quickly).
Exposure to Python for ML/AI, vector databases, and orchestration frameworks (LangChain, LlamaIndex, etc.).





Key Responsibilities
Design, configure, and manage SAP BTP landscape including subaccounts, entitlements, role collections, and security setup.
Develop and maintain applications using CAP model / BAS and leverage SAP HANA Cloud for data modeling and persistence.
Implement and manage BTP security & access management (IAS, IPS, XSUAA, trust configuration, principal propagation).
Build and integrate solutions between SAP S/4HANA/ECC and external systems using APIs and BTP services.
Design and implement AI/GenAI use cases leveraging SAP AI Core, AI Launchpad, and Document AI services.
Apply LLM concepts including prompt engineering, embeddings, and fine-tuning for business scenarios.

📌 Sap Btp Genai Architect Noida
🏢 Topcoder
📍 Noida