Lead Integration Engineer - API/Enterprise Systems in Bangalore, भारत

Role Overview : As a Lead Integration Engineer, you will design, implement, and operationalize enterprise integration solutions that connect product platforms, AI-enabled applications, workflow systems, APIs, business systems, and external services. You will define best practices for API design, event-driven architectures, service orchestration, lifecycle management, and AI-aware integration patterns (GenAI, agent-to-agent, MCP).Key Responsibilities : - Lead secure, scalable integration architectures across APIs, event streams, enterprise systems, and AI-enabled applications.- Define standards for REST APIs, messaging, orchestration, schema management, and lifecycle governance.- Implement integrations enabling GenAI and agentic AI systems to interact with enterprise platforms (SAP, ServiceNow, workflow engines).- Drive practices for API versioning, authentication, resiliency, observability, and backward compatibility.- Collaborate with architects, AI engineers, and product stakeholders to translate use cases into integration designs.- Ensure integrations are observable, testable, supportable, and operationally mature.- Mentor engineers and contribute reusable artifacts (API standards, schema templates, accelerators).Required Qualifications : - 6 - 9 years in integration/middleware/API engineering.- Hands-on with Azure API Management, Logic Apps, Functions, Service Bus, Event Grid, or equivalents (MuleSoft, Boomi, Kafka, Apigee, Kong, AWS API Gateway).- Expertise in REST APIs, JSON, OAuth2, OpenID Connect, webhooks, schema management, event-driven communication.- Experience integrating with SAP, ServiceNow, ERP, ITSM, workflow platforms.- Knowledge of agentic AI integration patterns (tool invocation, A2A, MCP).- Strong CI/CD, automated testing, observability, and operational support experience.- Excellent communication and stakeholder management https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications : - Experience with GenAI/agentic AI integrations, MCP, A2A.- Familiarity with Azure OpenAI, Semantic Kernel, LangChain.- Exposure to SAP BTP, workflow orchestration, API governance.- Reliability engineering (idempotency, dependency tracing, failure injection).- Experience in build-own-operate product organizations. (ref:hirist.tech)