ESaaS - SAP - Technical - Basis

Job Description

Key Responsibilities 1. Data Ingestion & Transformation Design pipelines to: Ingest Excel files from shared folders (SharePoint/Network/Azure storage) Convert structured/unstructured data into RAG-ready vector datasets Implement data preprocessing, normalization, and metadata tagging 2. SAP Integration & Data Extraction Develop integrations with SAP S/4HANA Public Cloud APIs Extract transactional and master data for reconciliation/comparison Handle authentication, API throttling, and data consistency 3. RAG-Based AI Solution Development Build and deploy RAG pipelines using Azure AI services Enable: Semantic search Context-aware data retrieval Knowledge grounding from Excel + SAP data Maintain vector databases (e.g., Azure AI Search / embeddings store) 4. AI Agent-Based Data Validation Design AI agents to: Compare SAP vs Excel data Identify mismatches, missing records, inconsistencies Automate reasoning workflows for: Data validation Exception identification Auto-suggestions for missing data 5. Integration Failure Analysis (SAP CPI) Parse and analyse SAP CPI logs Correlate failed integration records with: Missing/incorrect data Mapping errors API failures Build AI-assisted root cause classification engine 6. Azure-Based Application Development Develop and deploy applications on Microsoft Azure Use: Azure Functions / App Services Azure AI / OpenAI services Azure Data Factory / Logic Apps Ensure scalability, security, and monitoring 7. Automation & Reporting Create automated dashboards: Failed records summary Root cause insights Data reconciliation status Integrate with Power BI (optional but preferred) Required Skills & Experience Technical Skills Strong experience in: Python / AI development RAG architectures & LLM integration Hands-on with: Azure AI services / Azure OpenAI Vector databases (Azure AI Search / FAISS / etc.) SAP expertise: SAP S/4HANA Public Cloud APIs SAP CPI (Cloud Platform Integration) Data handling: Excel processing, ETL pipelines API integration & JSON/XML handling Preferred Skills Experience with: AI Agents / Autonomous workflows LangChain / Semantic Kernel / similar frameworks Data quality and reconciliation solutions Knowledge of: SAP Datasphere / BTP ecosystem Exposure to enterprise integration patterns Soft Skills Strong analytical & problem-solving skills Ability to translate business requirements into AI solutions Collaboration with SAP, Integration, and Data teams

Required Skills