Senior Power Platform & AI Infrastructure Engineer

• Advanced mastery of Microsoft Power Platform: Power Apps (Canvas and Model-Driven), Power Automate (cloud flows, Desktop flows, advanced error handling), and Dataverse (advanced data modeling and security)
• Strong pro-code development experience: C# / .NET (Dataverse plugins, custom workflow activities) and JavaScript / TypeScript (Model-Driven apps, PCF)
• Extensive experience with Web APIs, Custom Connectors, and JSON-based integrations
• Strong SQL / T-SQL skills, including performance optimization
• Experience with hybrid data architectures and On-Premises Data Gateway
• Hands-on experience implementing AI solutions with AI Builder, Copilot Studio, Azure OpenAI, and prompt design
• Experience with ALM, CI/CD, and solution deployment strategies
• Good understanding of Power Platform governance and architecture
• Very good command of English, both spoken and written

Nice to have:

• Experience with Power BI Service, including embedded analytics, DAX, and RLS
• Experience with Power BI Dataflows / Power Query Online
• Microsoft certifications such as: PL-400, PL-600, PL-500, PL-300, DP-300, and AI-102

• Support applications and infrastructure required to enable AI use cases within the Power Platform
• Drive and coordinate all infrastructure components, ensuring they work together as a coherent end-to-end solution
• Design, build, and maintain advanced Power Apps (Canvas and Model-Driven) with focus on performance, delegation, and complex business processes
• Develop and manage Power Automate solutions, including cloud flows, child flows, advanced error handling, and Desktop flows (RPA)
• Design and maintain Dataverse data models, including security roles, business units, field-level security, and calculated/rollup columns
• Implement pro-code extensions using C#/.NET, JavaScript/TypeScript, and PCF for scenarios exceeding low-code capabilities
• Design and integrate solutions using Web APIs, Custom Connectors, and Dataverse Web API
• Work with SQL-based data sources, including advanced queries, stored procedures, and performance tuning
• Implement hybrid data architectures, including On-Premises Data Gateway and Virtual Tables
• Enable and integrate AI capabilities using AI Builder, Copilot Studio, and Azure OpenAI within the Power Platform
• Design and manage ALM and CI/CD pipelines using Azure DevOps or GitHub Actions
• Utilize Azure services (Functions, Logic Apps) to support processing efficiency and cost optimization
• Advise on governance, security, licensing optimization, and environment strategy (Dev/Test/Prod)