Role: Agentic AI Integration Architect
Location: Pan India
Model Context Protocol (MCP) / Agentic AI Integration Architect (8–10 Years Experience)
- Design and implement enterprise-grade integrations between Agentic AI systems, MCP servers, enterprise applications, APIs, data platforms, and third-party services.
- Define integration patterns for agent-to-tool, agent-to-agent, and agent-to-system interactions using APIs, event-driven architectures, and workflow orchestration.
- Establish MCP integration standards covering tool discovery, context exchange, schema design, versioning, security, and observability.
- Drive governance, access control, auditability, policy enforcement, and compliance for AI agent integrations across enterprise environments.
- Lead integration of agents with enterprise platforms such as CRM, ERP, ITSM, collaboration tools, knowledge repositories, and cloud services.
- Collaborate with security, platform, application, and data teams to deliver scalable, resilient, and production-ready Agentic AI solutions.
- Experience: 8–10 years in enterprise integration, API architecture, middleware, or platform engineering, with hands-on experience in Agentic AI, MCP, API management, and integration governance.
