Copilot Studio Architect

SUMMARYThe Copilot Studio Architect is responsible for designing, building, implementing and supporting secure enterprise AI agents and intelligent automation solutions using Microsoft Copilot Studio and the Microsoft Power Platform. This role serves a broad internal client base, partnering with department leaders and stakeholders across the organization to identify, prioritize and deliver AI-enabled solutions that drive business value.The right individual will possess experience in all stages of AI agent project work (requirements and logical design, solution architecture, development, integration, testing, deployment and support). The Copilot Studio Architect should have a firm grasp of agent design, generative AI, workflow automation, enterprise data integration, governance and security. Leverage Microsoft Copilot Studio, Power Automate, Dataverse, Microsoft Fabric, SharePoint, Teams and Azure AI technologies to deliver scalable solutions that improve access to information, automate business processes and provide actionable insights.Develop AI agents, workflow automations and integrations based on defined business requirements.Duties and responsibilities

Designing, building, testing, deploying, and maintaining enterprise AI agents using Microsoft Copilot StudioLeading requirements discovery and translating business processes into agent instructions, topics, actions, workflows, knowledge sources and escalation pathsDesigning secure retrieval-augmented generation solutions using approved organizational content and data sourcesIntegrating agents with Microsoft Teams, SharePoint Online, Dataverse, Power Automate, Microsoft Fabric, Power BI, SQL databases, APIs and enterprise applications.Developing reusable agent templates, prompt patterns, connectors, and architecture standardsEstablishing agent testing practices for accuracy, grounded-ness, security, reliability, usability, and business acceptance.Monitoring agent performance, usage, failures and response quality and implementing continuous improvements.Applying identity, access, data protection, data-loss prevention, environment, publishing and lifecycle-management controlsCollaborating with cybersecurity, compliance, privacy, data, infrastructure, application and business teamsCommunicating project status, risks, decisions, dependencies and results in verbal and written formFollowing project schedules, change-control practices, assignments and production-support proceduresDevelop adoption strategies, success metrics and value realization plans to ensure AI solutions deliver measurable business benefits.

Professional

Project a professional manner and imageAdhere to ethical principles and responsible AI practicesDemonstrate initiative, ownership and responsibilityWork as a team memberManage time efficientlyPrioritize and perform multiple tasksAdapt to change

Communication

Recognizes and respects cultural diversityAdapts technical communication to individuals' ability to understandCommunicates complex AI, data, security and architecture concepts in clear business terms

Qualifications

Required Skills:

Extensive hands-on experience with Microsoft Copilot Studio, including agent configuration, generative orchestration, knowledge sources, topics, actions, authentication, testing, publishing and analyticsStrong experience with Microsoft Power Platform, including Power Automate, Dataverse, connectors, solutions, environments and application lifecycle managementExperience integrating Copilot Studio with Microsoft Teams, SharePoint Online, Microsoft 365, Microsoft Fabric, Power BI, SQL databases, REST APIs and enterprise systemsIn-depth understanding of Azure AI services, Azure OpenAI, Microsoft Entra ID, Microsoft Graph, retrieval-augmented generation, prompt engineering, security and AI governance

Required Experience:

Five or more years of experience delivering Microsoft Power Platform, cloud automation, business application or enterprise integration solutionsTwo or more years of hands-on experience with Microsoft Copilot Studio, conversational AI, generative AI or related enterprise agent technologiesExperience leading solutions through requirements, architecture, development, testing, deployment, support and optimizationHealthcare experience is preferred; experience with HIPAA-regulated environments is beneficial