M365 Copilot Solution Engineer

This position in needed to be able to manage the full lifecycle of AI solutions built using Microsoft Copilot Studio and develop AI solutions that leverage API integration, MCP server integration, and Agent2Agent (A2A) orchestration.

We are seeking a highly skilled and experienced Microsoft Copilot Agent Developer. This person will design, develop, and maintain advanced M365 Copilot AI solutions following professional software development practices. This critical role focuses on building sophisticated solutions that require integration with enterprise APIs, complex business logic, and mission-critical workflows. This position is based in North America, and candidates must be authorized to work in this region. 

The M365 Copilot Solution Engineer will collaborate with business stakeholders to translate complex needs into technology solutions. They will work closely with the Digital Transformation team to ensure solutions meet all security, compliance, and architectural requirements. This person will build and manage enterprise AI products that deliver significant value to our organization. 

This is a remote-based position located in the United States or Canada. Please note that as part of the recruitment and hiring process, there is an in-person meeting that will take place.

Key Responsibilities:

• Engage with business stakeholders to deeply understand requirements for proposed Copilot agents that necessitate custom, low-code, and pro-code development. 

• Translate business needs into detailed technical designs, including defining backend services, connectors, authentication mechanisms, and overall agent structure. 

• Create and maintain design documentation and diagrams, ensuring review and alignment with the Governance Lead and architectural baselines. 

• Implement Copilot agents using Copilot Studio, Microsoft 365 Agents SDK and VS Code toolkit. 

• Develop the agent's manifest (defining commands, triggers, and connected APIs) and write supporting code. 

• Implement API call logic, integrate with external libraries/SDKs, and handle complex data parsing and manipulation. 

• Adhere to best-in-class software engineering practices, including source control (Git), modular code design, and robust unit testing for critical functions, treating each agent or component as a deployable software product. 

• Lead and coordinate development efforts when multiple developers are involved. 

• Partner with the Governance Lead to integrate security and compliance checks throughout the development lifecycle. 

• Apply secure coding standards, including robust input validation and proper error handling. 

• Champion the development of agents that are not only performant but inherently trustworthy by design. 

• Conduct thorough testing of agent functionality, including functionality, performance, and security testing. 

• Ensure agents meet rigorous quality standards before packaging for deployment. 

Qualifications: 

• Bachelor's degree in computer science, Software Engineering, a related field or equivalent practical experience 

• Minimum of 8 years' experience delivering complex enterprise software applications 

• Ability to manage the full lifecycle of AI solutions built using Microsoft Copilot Studio 

• Ability to develop AI solutions that leverage API integration, MCP server integration, and Agent2Agent (A2A) orchestration 

• Working knowledge of Microsoft 365 ecosystem and development tools (e.g., VS Code, Azure AD, Microsoft Graph API) 

• Working knowledge of Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents) 

• Working knowledge of version control systems (Git) and modern software development practices (e.g., CI/CD, unit testing, code reviews) 

• Understanding of security best practices in modern software development 

Technical Skills: 

• Required: Microsoft Copilot Studio, JavaScript, RESTful APIs, JSON, Git 

• Strongly Preferred: Microsoft 365 Agents SDK, VS Code Toolkit, Azure services (Azure Key Vault, Azure AD), OAuth 2.0, and Microsoft Graph API 

• Familiarity with: AI/ML concepts, Large Language Models (LLMs), prompt engineering 

Soft Skills: 

• Exceptional problem-solving and analytical skills 

• Strong communication and interpersonal skills, with the ability to collaborate effectively with technical teams and non-technical business stakeholders 

• Ability to translate complex business requirements into technical solutions 

• Detail-oriented with a commitment to quality and secure development practices 

• Proactive, self-motivated, and able to work independently as well as part of a team