Azure AI Architect

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Accountabilities - Review existing Microsoft Foundry architectures and private connectivity configurations, identify technical gaps, and recommend practical improvements to accelerate deployment. - Design and validate secure integrations between Microsoft Foundry and enterprise data sources, including on-premises SQL databases, ERP systems, and internal document repositories. - Architect, implement, and optimize conversational AI solutions using appropriate Microsoft Azure services and Azure AI Search. - Design and enhance Retrieval-Augmented Generation (RAG) solutions to support accurate enterprise document retrieval, contextual understanding, and relevant AI-generated responses. - Assess and strengthen identity management, access controls, network security, and connectivity between cloud and on-premises environments. - Validate Azure configurations and integration approaches through hands-on implementation, testing, troubleshooting, and technical assessment. - Evaluate and recommend suitable Microsoft technologies, including Microsoft Foundry agents, Azure AI Search, and Copilot Studio, based on business requirements, technical constraints, and architectural objectives. - Assess AI solution performance across key metrics, including response quality, latency, reliability, and token consumption costs, and implement improvements where necessary. - Document architecture decisions, technical dependencies, identified risks, and recommended solutions, including a phased implementa

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