Responsibilities

1) Integration Engineering (Cloud, Hybrid, On Prem)

- Design, develop, and run end-to-end integration scenarios using cloud integration capabilities, enabling reliable connectivity across SAP and non SAP systems.
- Build, structure, and manage large integration flows with transparent modularity, reusability, and maintainability for enterprise scale.

2) Integration Flow Development (iFlows) & Message Transformation

- Create and maintain integration flows using routing, splitting, gathering, and other transformation patterns.
- Implement message mappings and data transformations for common enterprise formats (e.g., JSON, XML, CSV), ensuring semantic correctness and downstream compatibility.
- Apply canonical modeling and contract-first practices to reduce brittle point-to-point dependencies.

3) Scripting, Persistence & Advanced Flow Control

- Use scripting (e.g., Groovy) to implement complex transformation logic, enrichment, validation, and conditional execution paths.
- Implement message persistence patterns (e.g., data stores) to support idempotency, retries, correlation, and resilience.

4) API & Connector Enablement

- Design and expose secure APIs through API management capabilities (policies, authentication/authorization, throttling, versioning).
- Integrate with third party applications using connector-based approaches and standardized integration patterns.
- Enable event-driven integration approaches using messaging/event capabilities for near real-time propagation and decoupled architectures.

5) AI Native Integration Intelligence (Agentic Integration Layer)

- Build integration agents that can generate initial iFlows from system/endpoint selections and naming conventions, then validate them against enterprise standards.
- Implement retrieval-grounded assistance that pulls from interface catalogs, mapping specs,



standards, runbooks, and known incident patterns to produce verifiable recommendations (no free-form guessing).
- Apply intelligent recommendations for mapping and configuration, accelerating build and reducing rework.
- Develop AI-driven anomaly detection and prediction for integration/API behavior (error spikes, latency patterns), with human-in-the-loop controls for remediation actions.
- Optimize and analyze scripts used in integration flows for performance and maintainability through AI-assisted code analysis techniques.

6) Testing, Quality Engineering & Evaluation Loops

- Build automated testing strategies for integrations: schema/contract validation, payload regression suites, replay testing, and API testing tool-driven verification.
- Implement AI evaluation harnesses (offline golden test sets + online monitoring) for generated mappings, generated flows, and operational recommendations.
- Establish release gates for both integration changes and AI prompt/tool updates to prevent silent degradation.

7) Monitoring, Troubleshooting & Observability

- Set up monitoring dashboards and alerts for flows, APIs, and event-driven pipelines establish traceability with correlation IDs and end-to-end tracking.
- Diagnose and resolve integration issues using structured logs, message traces, and failure-mode analysis.
- Create AI-native operational experiences such as conversational root-cause analysis, runbook-guided remediation, and impact analysisbounded by role-based access and approval workflows.

8) Integration Strategy & Maturity Enablement

- Apply integration advisory practices to design hybrid integration platforms and define integration best practices across teams.
- Use integration assessment approaches to improve integration maturity, standardize patterns, and automate repeatable architectural governance where feasible.

📌 SAP BTP Integration Suite-0926 (Hyderabad)
🏢 RNR Global Certification
📍 Hyderabad