Description

Design, build, and deploy AI agents using Azure AI Foundry and Copilot Studio, integrating them with enterprise applications and data sources.

This role is on-site.

Responsibilities

• Implement Azure MCP (Model Context Protocol) for secure context sharing, orchestration, and tool integration.
• Set up and maintain CI/CD pipelines and release workflows in Azure DevOps, automating infrastructure via Infrastructure as Code.
• Integrate AI agents with enterprise APIs, backend logic, and SQL-based context enrichment.
• Ensure observability, reliability, and cost control using Prometheus, Grafana, and ELK stack components.

Required Skills

• 5-8 years of experience deploying AI/agent solutions and enterprise integrations.
• Hands-on experience with Azure AI Foundry and Copilot Studio.
• Proficiency in Azure MCP (Model Context Protocol) and agentic AI patterns.
• Strong knowledge of IAM concepts, including Azure AD/Entra ID, managed identities, RBAC, and OAuth flows.
• Operational experience with Azure DevOps (CI/CD, repos, release management) and SQL development/performance tuning.
• Experience with monitoring tools like Prometheus and Grafana.

Preferred Skills

• Python for backend logic and automation.
• Additional Azure services exposure (monitoring and deployment tooling).

Key Skills

Education

Any Graduate