Senior Azure AI Architect

Your Role

• Lead architecture and technical design for enterprise Azure AI solutions across GenAI, agentic AI, RAG, AI Search, integration, security, observability and AI Factory platform patterns.
• Design Azure AI architectures for GenAI, agentic AI, RAG, enterprise copilots and AI Factory platforms.
• Define patterns across Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Fabric, Databricks and integration services.
• Lead technical discovery with IT, data, security and enterprise architecture stakeholders.
• Create reference architectures, proposal solution blueprints, technical assumptions and PoC plans.
• Guide MVPs covering environment setup, secure connectivity, data ingestion, retrieval, agents, evaluation and monitoring.
• Embed guardrails, content safety, logging, identity, access control and human oversight into designs.
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Experience and Skills Required

• 8-12+ years in solution architecture, cloud architecture, data/AI architecture or platform engineering.
• 4-5+ years designing Azure solutions, ideally with production AI or client-facing implementations.
• Hands-on GenAI, RAG, LLM app, agentic AI, MLOps/LLMOps or AI platform engineering exposure.
• Secure enterprise integration experience: identity, APIs, private networking, monitoring and cloud governance.Strong experience in Python is a plus but it’s knowledge is mandatory.
• Azure AI Foundry and Azure OpenAI.
• Azure AI Search, vector search, embeddings and RAG.
• Azure Machine Learning, evaluation and deployment concepts.
• Microsoft Fabric, Azure Databricks, ADLS Gen2 and data integration.
• Azure Functions, Logic Apps, Event Grid, Service Bus and API Management.
• Entra ID, managed identities, Key Vault, private endpoints, VNet integration, RBAC and logging.
• Agentic AI, tool calling, orchestration, memory, observability and evaluation.
• Preferred certifications: Azure Solutions Architect Expert and Azure AI Engineer Associate.
• Experience in AI and Cloud FinOps
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