Developer / power
Job Description
AI Solutions Developer (Microsoft Copilot Studio / Power Platform / Azure AI) Location: Flexible Department: Digital Innovation / AI Strategy Reports to: AI Director About EXP At EXP, we’re driven to provide innovative solutions for the world’s built and natural environments. As a team of engineers, architects, designers, scientists, creators, and a community of professionals, we bring diverse and talented people together to solve the world’s most complex challenges. Here, you join a team that leverages differences, harnesses their entrepreneurial spirit in an employee-owned company that believes diversity is what gives us strength, seeks sustainable results and shares ambitions for each other, our clients, and the communities we are part of and serve. To be part of EXP means having your own experience, while staying connected to a global network of professionals who believe we are part of something bigger. Together, we are EXP. About The Role We are building out our AI strategy and tech stack on the Microsoft ecosystem and OpenAI platform. As part of this effort, we are launching multiple AI initiatives leveraging Microsoft Copilot Studio, Power Apps, and Azure AI/ML services. We are seeking AI Solutions Developers who will be responsible for designing, developing, and deploying AI-powered applications and copilots within our Microsoft ecosystem. This is a hands-on role requiring both technical expertise and the ability to manage the full product lifecycle - from concept to adoption. Key Responsibilities- Solution Development
- Design, build, and deploy AI agents and copilots using Microsoft Copilot Studio, Power Apps, Power Automate, and other Power Platform tools.
- Build and integrate AI/ML models using Microsoft Azure AI services (Azure OpenAI, Azure Cognitive Services, Azure Machine Learning).
- Develop scalable, maintainable solutions aligned with enterprise IT and data governance standards.
- Integrate AI solutions with Microsoft 365, Teams, SharePoint, and other enterprise systems.
- End-to-End Delivery
- Manage projects through the full lifecycle: requirements gathering, solution design, development, testing, deployment, and support.
- Manage projects collaboratively with a team using an agile project management platform
- Document solutions, processes, and workflows to ensure maintainability and handoff readiness.
- Change Management & Adoption
- Partner with business stakeholders to identify high-value use cases.
- Drive adoption by creating user education materials, training sessions, and feedback loops.
- Act as a trusted advisor for business units, helping them adapt to and maximize value from AI solutions.
- Collaboration & Governance
- Work closely with IT, data governance, and security teams to ensure compliance with firmwide standards.
- Provide input into the broader AI data strategy and roadmap.
- 3+ years of professional experience in solution development within the Microsoft ecosystem.
- Hands-on expertise with Power Platform (Power Apps, Power Automate, Power BI, Dataverse).
- Significant experience with Microsoft Copilot Studio.
- Experience working with Microsoft Azure AI/ML services (Azure Cognitive Services, Azure OpenAI Service, Azure Machine Learning).
- Strong understanding of data integration with Microsoft 365 and enterprise systems.
- Proven ability to manage the end-to-end delivery lifecycle, including requirements gathering, stakeholder engagement, sprints and rollout.
- Experience with version control systems (e.g., Git/GitHub), including branching strategies, pull requests, and collaborative code reviews.
- Familiarity with agile development concepts, workflows and platforms
- Excellent communication and facilitation skills for driving adoption across diverse user groups.
- Experience developing and managing Microsoft Graph Connectors for custom data integration.
- Experience developing full stack web apps
- Proficiency with PowerShell, Python, or other scripting languages for automation and integration.
- Experience in professional services, AEC (Architecture, Engineering, Construction), or similar industries.
- Familiarity with AI governance and responsible AI practices.
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