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:
oCreate and maintain CI/CD pipelines
oManage 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:
oAzure AD (Entra ID)
oManaged identities
oAuthentication & 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:
OAzure Functions
oAzure Logic Apps
oAzure API Management
oAzure 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
