CoPilot Studio Architect

SUMMARY
The 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 Studio
Leading requirements discovery and translating business processes into agent instructions, topics, actions, workflows, knowledge sources and escalation paths
Designing secure retrieval-augmented generation solutions using approved organizational content and data sources
Integrating 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 standards
Establishing 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 controls
Collaborating with cybersecurity, compliance, privacy, data, infrastructure, application and business teams
Communicating project status, risks, decisions, dependencies and results in verbal and written form
Following 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.

Professional

Project a professional manner and image
Adhere to ethical principles and responsible AI practices
Demonstrate initiative, ownership and responsibility
Work as a team member
Manage time efficiently
Prioritize and perform multiple tasks
Adapt to change

Communication

Recognizes and respects cultural diversity
Adapts technical communication to individuals’ ability to understand
Communicates 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 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

Required Experience:

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
Healthcare experience is preferred; experience with HIPAA-regulated environments is beneficial