Job Purpose

We are seeking an AI Agent Engineer with hands-on experience in deploying and operating AI agents using Azure AI Foundry and Copilot Studio. The ideal candidate will have a strong foundation in identity management, Azure DevOps, and intermediate-level Python and SQL, along with experience in Azure MCP (Model Context Protocol) for building secure, scalable AI agent solutions. You will work closely with product, engineering, and security teams to design, deploy, and maintain enterprise-ready AI agents that integrate seamlessly with existing systems and workflows.

Key Responsibilities

Design, build, deploy, and manage AI agents using Azure AI Foundry and Copilot Studio
Implement and configure Copilot Studio agents for business workflows, automation, and user interactions
Leverage Azure MCP (Model Context Protocol) to enable secure context sharing, orchestration, and tool integration for AI agents
Integrate AI agents with enterprise applications, APIs, and data sources
Implement identity and access management (IAM) using Azure AD (Entra ID), managed identities, RBAC,



and OAuth flows
Work with Azure DevOps to:
Create and maintain CI/CD pipelines
Manage source control, builds, and releases
Automate infrastructure and deployment workflows
Develop and maintain backend logic and integrations using Python (intermediate proficiency)
Write and optimize SQL queries for data access, analytics, and agent context enrichment
Monitor, debug, and optimize AI agent performance, reliability, and cost
Ensure security, compliance, and responsible AI practices are followed
Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
Maintain technical documentation and deployment guidelines

Key competencies

Essential Skills

Hands-on experience deploying AI agents using Azure AI Foundry
Experience building and managing agents in Copilot Studio
Experience with Azure MCP (Model Context Protocol) for AI agent architectures
Robust underst

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