Copilot Studio and Power Platform Engineer — Fabric Agent Extension

Connection•Remote,

5h•Remote

About The Position

Connection is hiring a Senior Copilot Studio & Power Platform Engineer for a remote contract position with benefits. The engineer will design, build, and deploy enterprise AI agents integrating Microsoft Copilot Studio with Microsoft Fabric and the broader Microsoft ecosystem. The role develops conversational and autonomous agent experiences connecting enterprise data, applications, and business workflows, using Copilot Studio, Fabric data agents, Power Automate, Dataverse, APIs, and Microsoft 365 to deliver secure, scalable, maintainable AI-powered solutions. The ideal candidate has strong Power Platform development and integration skills, practical experience implementing generative AI solutions, knowledge of enterprise security controls, and experience with production-ready application lifecycle management. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship or transfer is not available.

Requirements

6–8+ years of experience in application development, automation engineering, systems integration, or a related technical discipline.
3+ years of hands-on experience developing solutions with Microsoft Power Platform.
Demonstrated experience building and deploying agents using Microsoft Copilot Studio.
Strong experience with Power Automate cloud flows, agent actions, connectors, and workflow automation.
Experience with Power Apps and Dataverse, including data modeling and application integration.
Hands-on experience integrating REST APIs, custom connectors, and enterprise applications.
Working knowledge of Microsoft Fabric and experience integrating Fabric data agents or data products with AI-powered solutions.
Understanding of Microsoft Entra ID, OAuth, authentication, authorization, and enterprise security controls.
Experience with Power Platform solutions, environment management, managed deployments, and ALM practices.
Knowledge of agent testing, evaluation, monitoring, governance, and troubleshooting.
Strong analytical, problem-solving, communication, and collaboration skills.
Authorization to work for any employer in the U.S.; the employer is unable to sponsor or take over sponsorship of an employment visa.

Nice To Haves

Experience integrating Microsoft Copilot Studio with Azure AI Foundry or other advanced AI services.
Familiarity with enterprise data governance, semantic models, access controls, and responsible AI practices.
Experience implementing human-in-the-loop processes and approval workflows.
Relevant Microsoft certifications in Power Platform, Copilot Studio, Azure AI, or Microsoft Fabric.
Experience delivering production-grade AI agents in a large enterprise environment.

Responsibilities

Design, build, configure, test, and deploy enterprise agents in Microsoft Copilot Studio, including instructions, topics, triggers, knowledge sources, tools, actions, and conversation flows.
Extend Copilot Studio agents with Microsoft Fabric data agents and governed Fabric data products for secure, context-aware enterprise data access.
Build and maintain Power Automate cloud flows, agent actions, Power Apps, and Dataverse solutions to automate processes and support agent-driven workflows.
Integrate agents with SharePoint, Microsoft 365, Dataverse, Microsoft Fabric, REST APIs, custom connectors, and other approved enterprise applications.
Implement adaptive cards, approval processes, notifications, exception handling, and human-in-the-loop workflows.
Configure authentication, authorization, Microsoft Entra ID, OAuth, environment variables, connection references, and Power Platform data loss prevention policies.
Manage Power Platform environments, solutions, managed deployments, release processes, and ALM across development, test, and production environments.
Establish agent testing and evaluation practices; monitor analytics and response quality; and implement logging, auditability, and exception-handling mechanisms.
Troubleshoot agent orchestration, data grounding, connector configuration, permissions, integration reliability, and response quality.
Collaborate with AI and data engineering teams to integrate Azure AI Foundry and other approved capabilities when needed.
Work with business stakeholders, architects, data engineers, and security teams to translate business requirements into reliable, secure, user-friendly AI solutions.