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.

📌 Agentic AI Integration Architect (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru