Assistant Manager | AI/ML/GenAI Integration | Bengaluru | Engineering as a Service/ Operate
Hybrid · Bengaluru, Karnataka, India
Job Summary
Lead and own the design, implementation, and operations of enterprise integration solutions across APIs, event streams, enterprise systems, workflow platforms, and AI-enabled applications. Define integration patterns, standards, and lifecycle governance for REST APIs, asynchronous messaging, and service orchestration. Architect and support GenAI/agentic AI integrations, including A2A interactions and MCP-aligned context exchange, with SAP, ServiceNow, and other ERP/ITSM systems. Drive API versioning, security, observability, and reliability; mentor engineers; contribute reusable integration artifacts; and collaborate with solution architects and product stakeholders to translate use cases into scalable, maintainable interfaces and integrations.
Required Qualifications
- 6 to 8+ years of experience in integration engineering, middleware engineering, API engineering, enterprise platform engineering, or related technical roles
- Proven experience designing and operating enterprise-grade APIs, integrations, event-driven architectures, service orchestration patterns, and system-to-system workflows
- Strong hands-on experience with Azure API Management, Azure Logic Apps, Azure Functions, Azure Service Bus, Event Grid, or equivalent integration and middleware platforms such as MuleSoft, Boomi, Kafka, RabbitMQ, Apigee, Kong, AWS API Gateway
- Strong expertise in REST APIs, JSON, OAuth2, OpenID Connect, webhook patterns, schema management, asynchronous messaging, event-driven communication, and API versioning / backward compatibility
- Practical experience integrating with enterprise systems such as SAP, ServiceNow, ERP platforms, ITSM systems, workflow platforms, and other downstream business applications
- Strong understanding of agentic AI integration patterns, including tool invocation, workflow coordination, context-sensitive system interactions, and distributed communication approaches such as MCP and A2A interaction patterns
- Strong understanding of integration lifecycle management, including interface testing, release controls, failure handling, observability, supportability, dependency tracing, and long-term maintainability
- Experience implementing and supporting CI/CD, automated testing, deployment automation, API validation, and release-readiness controls for integrations and service interfaces
- Familiarity with observability and operational tooling such as Application Insights, Azure Monitor, OpenTelemetry, Datadog, AppDynamics, or equivalent monitoring and trace-analysis platforms
- Strong communication and stakeholder management skills, including the ability to simplify dependency, interface, and architecture trade-offs for both technical and non-technical stakeholders
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