AI Engineer - Multi-Agent Platform & MCP (Onsite Bellevue)

Wipro Limited; Bellevue (WA); On-site; USD 100,000 - 180,000; Full time

Benefits offered by this job

Full range of medical and dental benefi

Disability insurance

Paid time off

Other paid and unpaid leave options

Job summary

Wipro Limited in Bellevue, Washington is seeking an AI Engineer for onsite work to design MCP servers, integrate enterprise tools for LLM agents, and deliver governed, observable agent execution at scale. You will build MCP servers and tool integrations exposing enterprise APIs and data sources to LLM agents, and implement A2A protocols for multi-agent collaboration.

The role requires experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Azure Agentic Framework, plus 3

Qualifications

• Experience designing and developing MCP servers and tool integrations.
• Hands-on experience with agentic AI frameworks including LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Azure Agentic Framework.
• Ability to design multi-agent workflows and multi-agent communication (A2A) protocols.

Responsibilities

• Design and develop MCP servers and tool integrations exposing enterprise APIs, data sources, and services to LLM agents for real-time context retrieval and action execution.
• Implement Agent-to-Agent (A2A) communication protocols for multi-agent workflows and collaboration.
• Build and manage agentic AI frameworks using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Azure Agentic Framework.
• Own the agentic platform tooling layer, ensuring observable, governed agent execution across the AI platform.

Skills

Autonomous Network AI Engineering

Multi-agent workflows

Tools

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

Azure Agentic Framework

Job description

Wipro Limited in Bellevue, Washington is seeking an AI Engineer for onsite work to design MCP servers, integrate enterprise tools for LLM agents, and deliver governed, observable agent execution at scale. You will build MCP servers and tool integrations exposing enterprise APIs and data sources to LLM agents, and implement A2A protocols for multi-agent collaboration.

The role requires experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and Azure Agentic Framework, plus 3