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Tier-1 brand, metro location, and 3–5 year level increase competition despite niche Copilot specialization.
Skills are Azure and Microsoft-stack specific but applicable across enterprises, making fit moderately transferable.
Multiple mandatory Microsoft Azure, Copilot, and ML skills plus explicit 3–5 years requirement.
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Design, build, and deploy custom Copilot AI agents using Microsoft Copilot Studio and Azure AI Foundry to integrate enterprise data, applications, and workflows.
Develop AI solutions leveraging Azure OpenAI, Cognitive Search, and AI Services with focus on retrieval-augmented generation (RAG) and agent orchestration.
Collaborate with business teams and technical partners to identify use cases, develop POCs, ensure Responsible AI compliance, and scale AI initiatives.
Bachelor’s degree in Computer Science, AI/ML, Engineering or related discipline.
3–5 years of experience in AI solution development, Microsoft Cloud engineering, or automation platforms.
Proven experience with Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Azure Cognitive Services, Microsoft Graph, SharePoint REST APIs, Teams integrations, and Power Platform.
Experience with Python, C#, React or TypeScript; knowledge of AI architecture patterns including RAG, prompt chaining, agent-to-agent communication frameworks (A2A and MCP).
Experienced in architecting and deploying AI-powered enterprise solutions on Microsoft Azure and Power Platform ecosystems.
Strong skills in building and optimizing AI agents with capabilities like semantic memory, prompt flows, and multi-agent communication.
Able to translate complex business needs into scalable AI applications compliant with Responsible AI and governance frameworks.