Description

Key Skills: Agentic AI, AI Foundry (Azure), Grafana, Prometheus, Azure Cloud, Azure AI, Azure Devops, Python

Roles and Responsibilities:

• Design, build, deploy, and manage AI agents using Azure AI Foundry and Copilot Studio.
• Implement Azure MCP (Model Context Protocol) for secure context sharing, orchestration, and tool integration.
• Integrate AI agents with enterprise applications, APIs, and data sources, including backend logic and SQL-based context enrichment.
• Set up and maintain CI/CD pipelines and release workflows in Azure DevOps; automate infrastructure and deployment using Infrastructure as Code.
• Ensure observability, reliability, and cost control using Prometheus, Grafana, and related monitoring/ELK stack components; apply security and responsible AI practices.

Skills Required:

• 5-8 years of relevant experience in deploying AI/agent solutions and enterprise integrations.
• Hands-on experience with Azure AI Foundry and Copilot Studio for deploying AI agents.
• Azure AI agent architecture using Azure MCP (Model Context Protocol) and agentic AI patterns.
• Identity and access management using IAM concepts, including Azure AD/Entra ID, managed identities, RBAC, and OAuth flows.
• Operational and delivery experience with Azure DevOps (CI/CD, repos, release management), plus SQL development and performance tuning.

Good to Have:

• Python for backend logic and automation.
• Azure DevOps enhancements and additional Azure services exposure (e.g., monitoring and deployment tooling).

Education: B.Tech in Computer Science / Computer Science Engineering / Computer Technology / Computer Science and Technology / Electronics and Computer Science / Electrical and Computer Engineering

Key Skills

Education

Any Graduate