CoPilot Studio Architect

Advanced Dermatology and Cosmetic Surgery•Maitland, FL

About The Position

The Copilot Studio Architect designs, builds, implements, and supports secure enterprise AI agents and intelligent automation solutions using Microsoft Copilot Studio and the Microsoft Power Platform. The role serves internal clients across the organization, partnering with department leaders and stakeholders to identify, prioritize, and deliver AI-enabled solutions that create business value. The architect contributes throughout the AI agent project lifecycle, including requirements discovery, logical design, solution architecture, development, integration, testing, deployment, support, and optimization. The role applies agent design, generative AI, workflow automation, enterprise data integration, governance, and security practices. Technologies named include Microsoft Copilot Studio, Power Automate, Dataverse, Microsoft Fabric, SharePoint, Teams, and Azure AI. The position also develops adoption strategies, success metrics, and value-realization plans so solutions can deliver measurable business benefits.

Requirements

  • Extensive hands-on experience with Microsoft Copilot Studio, including agent configuration, generative orchestration, knowledge sources, topics, actions, authentication, testing, publishing, and analytics.
  • Strong experience with Microsoft Power Platform, including Power Automate, Dataverse, connectors, solutions, environments, and application lifecycle management.
  • Experience integrating Copilot Studio with Microsoft Teams, SharePoint Online, Microsoft 365, Microsoft Fabric, Power BI, SQL databases, REST APIs, and enterprise systems.
  • In-depth understanding of Azure AI services, Azure OpenAI, Microsoft Entra ID, Microsoft Graph, retrieval-augmented generation, prompt engineering, security, and AI governance.
  • Five or more years of experience delivering Microsoft Power Platform, cloud automation, business application, or enterprise integration solutions.
  • Two or more years of hands-on experience with Microsoft Copilot Studio, conversational AI, generative AI, or related enterprise agent technologies.
  • Experience leading solutions through requirements, architecture, development, testing, deployment, support, and optimization.

Nice To Haves

  • Healthcare experience is preferred.
  • Experience in HIPAA-regulated environments is beneficial.

Responsibilities

  • Design, build, test, deploy, and maintain enterprise AI agents using Microsoft Copilot Studio.
  • Lead requirements discovery and translate business processes into agent instructions, topics, actions, workflows, knowledge sources, and escalation paths.
  • Design secure retrieval-augmented generation solutions using approved organizational content and data sources.
  • Integrate agents with Microsoft Teams, SharePoint Online, Dataverse, Power Automate, Microsoft Fabric, Power BI, SQL databases, APIs, and enterprise applications.
  • Develop reusable agent templates, prompt patterns, connectors, and architecture standards.
  • Establish agent testing practices for accuracy, groundedness, security, reliability, usability, and business acceptance.
  • Monitor agent performance, usage, failures, and response quality, and implement continuous improvements.
  • Apply identity, access, data protection, data-loss prevention, environment, publishing, and lifecycle-management controls.
  • Collaborate with cybersecurity, compliance, privacy, data, infrastructure, application, and business teams.
  • Communicate project status, risks, decisions, dependencies, and results verbally and in writing.
  • Follow project schedules, change-control practices, assignments, and production-support procedures.
  • Develop adoption strategies, success metrics, and value-realization plans to ensure AI solutions deliver measurable business benefits.
  • Adhere to ethical principles and responsible AI practices.
  • Work as a team member, manage time efficiently, prioritize and perform multiple tasks, adapt to change, and demonstrate initiative, ownership, and responsibility.
  • Adapt technical communication to the audience and explain complex AI, data, security, and architecture concepts in clear business terms.
  • Recognize and respect cultural diversity.
  • Project a professional manner and image.
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