Azure Engineer
Acuity Analytics
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 #J-18808-Ljbffr Acuity Analytics
Vacancy posted 4 days ago
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