Description
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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