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Strong employer brand, metro location, mid-level AI role and generalist appeal yield high applicant competition.
Skills tied to Microsoft Copilot, Azure, and enterprise integrations are moderately transferable across enterprise sectors.
Multiple mandatory Microsoft/Azure/Copilot technical requirements plus explicit 3–5 years make filters highly stringent.
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Design, build, and deploy custom AI Copilot agents integrating Microsoft 365, SharePoint, Power Platform, and Azure AI services.
Develop and optimize AI solutions including retrieval-augmented generation (RAG), prompt flows, semantic memory, and agent-to-agent communication frameworks.
Collaborate with business teams and technical partners to identify use cases, develop prototypes, ensure compliance with Responsible AI and security standards, 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 agent-to-agent communication frameworks like A2A and MCP.
Experienced in architecting and operationalizing AI solutions within Microsoft Cloud and Power Platform environments.
Skilled in advanced AI concepts such as RAG, prompt chaining, function calling, and agent communication frameworks.
Capabilities to bridge technical development with business stakeholder needs to deliver scalable, enterprise-grade AI Copilot solutions.