AI Native Software Engineer

Overview

Build and ship production-ready, AI-native enterprise integration products on SAP BTP Integration Suite, combining integration engineering fundamentals with agentic AI patterns across cloud, on-premise and hybrid landscapes.

What you'll do

• Design, develop and run end-to-end integration scenarios enabling reliable connectivity across SAP and non-SAP systems.
• Build, structure and manage large integration flows with modularity, reusability and maintainability for enterprise scale.
• Create and maintain integration flows using routing, splitting, gathering and other transformation patterns.
• Implement message mappings and data transformations for enterprise formats such as JSON, XML and CSV, ensuring semantic correctness and downstream compatibility.
• Apply canonical modeling and contract-first practices to reduce brittle point-to-point dependencies.
• 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.
• 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 using messaging/event capabilities for near real-time propagation and decoupled architectures.
• Build integration agents that generate initial iFlows from system/endpoint selections and naming conventions, and validate them against enterprise standards.
• Implement retrieval-grounded assistance drawing on interface catalogs, mapping specs, standards, runbooks and known incident patterns to produce verifiable recommendations.
• Apply intelligent recommendations for mapping and configuration to accelerate build and reduce rework.
• Develop AI-driven anomaly detection and prediction for integration/API behavior (error spikes, latency patterns), with human-in-the-loop controls for remediation.
• Optimize and analyze integration flow scripts for performance and maintainability using AI-assisted code analysis.
• Build automated testing strategies: schema/contract validation, payload regression suites, replay testing and API test-tool-driven verification.
• Implement AI evaluation harnesses (offline golden test sets and online monitoring) for generated mappings, flows and operational recommendations.
• Establish release gates for integration changes and AI prompt/tool updates to prevent silent degradation.
• Set up monitoring dashboards and alerts for flows, APIs and event-driven pipelines, 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 analysis, bounded by role-based access and approval workflows.
• Apply integration advisory practices to design hybrid integration platforms and define best practices across teams.
• Use integration assessment approaches to improve integration maturity, standardize patterns and automate architectural governance where feasible.

What you'll need

• Minimum 5 years of experience.
• 15 years full-time education.
• Must have: SAP BTP Integration Suite.
• Strong hands-on expertise with SAP BTP Integration Suite concepts and building blocks (cloud integration/iFlows, transformation patterns, monitoring).
• Proven ability to implement message mappings, routing patterns and transformation logic across enterprise data formats.
• Practical scripting capability (e.g., Groovy) for advanced integration flow customization and performance tuning.
• Solid API design and management fundamentals (security, throttling, lifecycle/versioning, observability).
• AI-native delivery capability: tool-augmented workflows, retrieval-grounded outputs, measurable evaluation loops and safe action boundaries.

Nice to have

• Good to have: SAP PO/PI and APIs development.
• Event-driven integration design and enterprise messaging patterns.
• Connector-based integrations with third-party SaaS ecosystems.
• Migration and modernization experience from legacy integration platforms to cloud integration.
• Integration governance and advisory methodologies for enterprise-wide standardization.

Details

• Location: Mumbai.
• Does not center on training or fine-tuning foundation models from scratch; the role builds and owns AI behavior in the integration layer (grounding, evaluation, guardrails, observability).