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Tier-1 employer and mid-level seniority increase competition, though niche Copilot/Azure specialization limits applicant pool.
Highly domain-specific Microsoft Copilot, Azure AI, and Power Platform expertise limits cross-industry transferability.
Explicit 5–8 years requirement plus mandatory Azure/Copilot, Power Platform, and engineering skills create strict filters.
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Design, build, and deploy AI Copilot agents integrating enterprise data and workflows using Microsoft Copilot Studio and Azure AI services.
Develop and optimize retrieval-augmented generation (RAG) based AI solutions, prompt flows, and agent orchestration including agent-to-agent communication frameworks (A2A, MCP).
Collaborate with business teams and technical partners to create scalable AI applications, proofs of concept, and ensure compliance with Responsible AI and governance standards.
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 experience with Microsoft Copilot Studio, Azure AI Foundry/OpenAI, Azure Cognitive Services, Microsoft Graph, Power Platform (Power Automate, Power Apps), and programming skills in Python, C#, React or TypeScript.
Experience with AI architecture patterns including RAG, prompt chaining, function calling and familiarity with agent-to-agent communication frameworks (A2A, MCP).
Experienced in architecting and implementing AI solutions across Microsoft 365 ecosystem and Power Platform, including building custom connectors and AI orchestration.
Strong expertise in deploying and optimizing AI agents and workflows in enterprise environments with emphasis on scalability and compliance.
Ability to bridge technical AI capabilities with business use cases through collaboration and delivering measurable AI-powered productivity enhancements.