Tech Delivery Subject Matter Expert

Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : SAP BTP Integration Suite Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary AI Powered Tech Talent Build AI native, enterprise integration products on SAP BTP Integration Suite by combining strong integration engineering fundamentals with agentic AI patterns (LLMs + tools + retrieval + evaluation). The role focuses on creating and operating production-grade integrations across cloud, on premise, and hybrid landscapes—while augmenting the integration lifecycle with intelligent capabilities such as automated iFlow generation, mapping recommendations, anomaly detection, predictive operations, and conversational troubleshooting. This role owns AI behavior in the integration layer (grounding, safety, evaluation), not just AI-assisted development.

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 clear 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