The AI Architect role should emphasize Azure AI Foundry, Azure OpenAI, Microsoft Agent Framework (MAF), Semantic Kernel, AutoGen, Copilot Studio, Microsoft Fabric, Azure AI Search, MCP, LLMOps, Responsible AI, and enterprise-scale agentic architectures. Also focus on multi-agent orchestration, Azure AI Search, Microsoft Fabric, Entra ID, Purview, Key Vault, MLOps/LLMOps, and governance as core architectural competencies.
Responsibilities
1. Architect and lead enterprise-scale Agentic AI solutions leveraging Azure AI Foundry, Azure OpenAI Service, Microsoft Agent Framework (MAF), Semantic Kernel, AutoGen, and Copilot Studio.
2. Design and implement multi-agent systems, agent orchestration workflows, autonomous business processes, and AI-powered copilots using Microsoft AI technologies.
3. Build and deploy advanced RAG, GraphRAG, Knowledge Mining, and enterprise search solutions using Azure AI Search, vector databases, and knowledge graphs.
4. Define AI and data platform architectures leveraging Microsoft Fabric, Azure Databricks, Azure Data Lake, Synapse Analytics, and Azure Machine Learning.
5. Lead the complete AI/ML lifecycle including:
- Deployment, Monitoring, MLOps & LLMOps
6. Design and govern enterprise GenAI platforms ensuring scalability, reliability, observability, and operational excellence.
7. Define Responsible AI practices include<|endoftext|>
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