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Mid-level AI role, metro location, popular AI skills and recognizable multinational brand increase applicant density.
Specialized Microsoft Copilot and Power Platform expertise limits cross-industry fit but transferable Azure/AI skills remain relevant.
Explicit 5–8 years and many mandatory Microsoft/Azure/Copilot technologies indicate strict screening filters.
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Design, build, and deploy custom AI Copilot agents and enterprise AI solutions integrating Microsoft 365, SharePoint, and Power Platform.
Architect and implement retrieval-augmented generation (RAG) AI solutions leveraging Azure OpenAI, Cognitive Search, and AI services for enterprise workflows.
Collaborate with business and technical teams to develop prototypes, scale AI initiatives, ensure Responsible AI compliance, and continuously optimize Copilot agent performance.
Bachelor’s degree in computer science, AI/ML, Engineering, or related discipline.
5–8 years of experience in AI solution development, Microsoft Cloud engineering, or automation platforms.
Proven skills with Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Azure Cognitive Services, Microsoft Graph, SharePoint REST APIs, Power Platform (Power Automate, Power Apps, Power BI, Dataverse).
Experience with programming languages like Python, C#, React or TypeScript and familiarity with SPFx development and Microsoft Graph integrations.
Experienced in developing enterprise-scale AI Copilot solutions with strong focus on Microsoft technologies and integration with large-scale enterprise data systems.
Skilled in AI architecture including RAG, prompt chaining, agent-to-agent communication frameworks (A2A, MCP), and implementing AI governance and Responsible AI principles.
Capable of translating complex business needs into scalable AI applications through collaboration with both technical and business stakeholders.