ESaaS - SAP - Technical - Basis
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
Experience Level
5–10 years (with at least 2–3 years in AI/ML or advanced automation)
Deliverables
End-to-end AI solution for:
Data ingestion → RAG conversion → SAP extraction → AI comparison → CPI failure analysis
Production-ready deployment on Azure
Automated reporting & monitoring framework
Nice-to-Have Enhancements (Optional Scope)
Self-healing integration recommendations
Chatbot interface for querying reconciliation issues
Predictive failure detection using historical CPI logs
Suggested Role Tag (for hiring portals)
“AI + SAP Integration Engineer | RAG | Azure | CPI”
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
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
Experience Level
5–10 years (with at least 2–3 years in AI/ML or advanced automation)
Deliverables
End-to-end AI solution for:
Data ingestion → RAG conversion → SAP extraction → AI comparison → CPI failure analysis
Production-ready deployment on Azure
Automated reporting & monitoring framework
Nice-to-Have Enhancements (Optional Scope)
Self-healing integration recommendations
Chatbot interface for querying reconciliation issues
Predictive failure detection using historical CPI logs
Suggested Role Tag (for hiring portals)
“AI + SAP Integration Engineer | RAG | Azure | CPI”
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.