M365 Solutions Architect, Copilot
Leidos
AzureCloudRPA
Salary
💰 $126,100 - $227,950 per year
Job Level
SeniorLead
Tech Stack
AzureRPA
About the role
- Design a RAG-based solution for integrating Microsoft Copilot Studio into existing M365 services (Dataverse, Power Automate, etc.)
- Design and build custom Copilot agents using Microsoft Copilot Studio
- Customize Copilot Studio for company-specific use cases (automated document management, data analysis in Excel/Teams/PowerBI)
- Configure the “Semantic Index” for context-sensitive search enrichment in Copilot
- Design conversational flows, intents, and entities and collaborate with stakeholders to translate requirements into Copilot capabilities
- Implement governance best practices and security/compliance checks in accordance with Microsoft’s Responsible AI principles (Microsoft Purview)
- Design, build, and deploy AI Builder models (form processing, prediction, object detection, classification)
- Own the end-to-end AI model lifecycle: data preparation, labeling, training, evaluation, and retraining
- Troubleshoot and optimize Bot performance and user engagement
- Understand business requirements and develop product functional and technical requirements
- Support development, deployment and execution of M365 Power Platform services; develop roadmaps and service strategies
- Develop Canvas Apps and Model-Driven Apps; implement data integrations using Power Automate and Dataverse
- Provide technical guidance to junior engineers and project teams; champion a collaborative culture
- Create engineering documentation: Visio Diagrams, As-Built documents, run books, knowledge guides, operations guides
- Work with little or no supervision, adapt to changing requirements, and participate in Agile Scrum ceremonies
- Stay abreast of current and emerging technologies and provide recommendations to management
Requirements
- BS degree and 12–15 years of prior relevant experience OR master’s degree with ~10–13 years of prior relevant experience
- Additional years of experience may be substituted in lieu of degree
- Must be able to obtain and maintain a Public Trust or higher security Clearance
- Proficiency in Microsoft Copilot Studio and conversational AI design
- Strong understanding of user experience (UX) principles in chatbot design
- Experience with adaptive cards and Power Virtual Agents
- Hands-on experience in building workflows, custom connectors, and API integrations
- Strong expertise in MS Copilot Studio (chatbot building, prompt engineering, AI-driven automation)
- Proven experience in GenAI development, preferably with Microsoft Copilot Studio, Azure OpenAI
- Strong understanding of LLMs, prompt engineering, and agentic AI principles
- Familiarity with AI governance, data compliance, or digital transformation initiatives
- Deep hands-on experience with AI Builder in Power Platform (form processing, prediction, object detection, classification)
- Strong understanding of data preparation, labeling, and training pipelines within AI Builder, including model evaluation and retraining strategies
- Experience with Power Apps (Canvas and/or Model-driven)
- Hands-on experience with Power Platform (Power Apps and Automate), M365 and SharePoint integrations
- Strong problem-solving skills and ability to work in agile teams
- Excellent communication and documentation skills
- Previous experience employing DevOps methodologies
- Experience with design, planning and implementation in environments with 10,000+ users
- Preferred: exposure to change management methodologies or organizational adoption frameworks
- Preferred: Understanding of agency Capstone and NARA data retention compliance principles
- Preferred: Knowledge of Power BI for reporting and dashboards
- Preferred: Experience with RPA tools (UiPath, Automation Anywhere, Blue Prism)
- Preferred: Experience with change control principals and ticketing with Service Now (SNOW)
- Preferred: Microsoft certifications (e.g., PL-100, PL-200, MS-900)
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