Our Customer:
An international enterprise running a strategic digital transformation program built on Microsoft technologies. The company is scaling AI adoption across its business through Copilot-based conversational solutions and is building reusable AI capabilities, governance and best practices for global teams.
Your Tasks:
Design, develop and maintain Microsoft Copilot Studio agents for business use cases, including topics, knowledge sources and generative AI capabilities
Configure authentication, security and access controls for Copilot solutions
Develop and maintain complex Power Automate Cloud Flows, including approval workflows, automation processes and orchestration logic
Integrate Copilot Studio agents with enterprise applications and data sources using REST APIs, custom connectors and Microsoft platform services
Design and manage Dataverse data models, including tables, relationships, business rules and security roles
Manage solution packaging, releases and environment promotions across development, test, UAT and production
Troubleshoot and resolve conversational, integration and performance issues
Apply responsible AI principles and enterprise governance, source control and ALM practices
Collaborate with architects and global stakeholders to evaluate new Microsoft AI capabilities and define reusable best practices
Participate in Agile/Scrum ceremonies, documentation, testing and operational handover activities
Required Experience and Skills:
5+ years of experience in Microsoft Power Platform development
1+ year of hands-on experience delivering production Microsoft Copilot Studio agents, not only POCs
Hands-on experience building Copilot Studio agents, including topics, knowledge sources, generative answers, Entra ID/SSO authentication and calling flows and connectors from agents
Expert-level knowledge of Power Automate Cloud Flows, including error handling, child flows, approvals, orchestration and HTTP actions
Deep understanding of Microsoft Dataverse at the architecture level, including data modeling, tables and relationships, business rules and security roles
Hands-on experience building Power Apps, including Canvas and Model-driven apps
Hands-on experience integrating solutions with SharePoint Online
Proven ability to integrate enterprise systems using REST APIs and custom connectors
Hands-on experience with Power Platform ALM, including managed and unmanaged solutions, environment promotion from Dev to Prod and release management
Hands-on experience with source control and deployment pipelines in Azure DevOps or GitHub
Working knowledge of the Microsoft 365 ecosystem and related services
Solid understanding of AI, generative AI and conversational AI concepts
Solid understanding of SDLC and hands-on experience working in Agile/Scrum delivery teams
Strong problem-solving, debugging and troubleshooting skills
Excellent communication, documentation and stakeholder management skills, including explaining technical concepts to non-technical audiences
Proven ability to work independently and collaborate within global, cross-functional teams
Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field, or equivalent practical experience
English — Upper-Intermediate
Would Be a Plus:
Hands-on experience with Azure OpenAI or Azure AI Services
Hands-on experience with AI Builder
Hands-on experience with Power Pages
Working knowledge of JavaScript, TypeScript or C# for PCF components, custom connectors or Azure Functions
Hands-on experience automating CI/CD for Power Platform solutions
Microsoft certifications such as PL-200, PL-400, PL-600, AI-102 or AI-900
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