We are seeking an Azure 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
Strong understanding of Identity Management:
Azure AD (Entra ID)
Managed identities
Authentication & authorization concepts
Experience with Azure DevOps (Repos Pipelines Boards CI/CD)
Intermediate experience in Python for backend logic integrations and automation
Intermediate experience in SQL including performance tuning and complex queries
Good understanding of REST APIs and service integrations
Experience working in Agile/Scrum environments
Strong problem-solving and analytical thinking
Ability to work independently and in cross-functional teams
Clear communication and documentation skills
Proactive mindset with attention to detail
Nice to Have
Experience with Azure services such as:
Azure Functions
Azure Logic Apps
Azure API Management
Azure OpenAI
Familiarity with prompt engineering and agent orchestration patterns
Knowledge of monitoring tools (Azure Monitor Application Insights)
Exposure to enterprise security and compliance standards
Experience with versioning testing and deployment of AI solutions
Job Description: We are seeking an Azure 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...
Job Description:
We are seeking an Azure 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
Strong understanding of Identity Management:
Azure AD (Entra ID)
Managed identities
Authentication & authorization concepts
Experience with Azure DevOps (Repos Pipelines Boards CI/CD)
Intermediate experience in Python for backend logic integrations and automation
Intermediate experience in SQL including performance tuning and complex queries
Good understanding of REST APIs and service integrations
Experience working in Agile/Scrum environments
Strong problem-solving and analytical thinking
Ability to work independently and in cross-functional teams
Clear communication and documentation skills
Proactive mindset with attention to detail
Nice to Have
Experience with Azure services such as:
Azure Functions
Azure Logic Apps
Azure API Management
Azure OpenAI
Familiarity with prompt engineering and agent orchestration patterns
Knowledge of monitoring tools (Azure Monitor Application Insights)
Exposure to enterprise security and compliance standards
Experience with versioning testing and deployment of AI solutions