- 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
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