Required Qualifications
8+ years of experience in cloud architecture and engineering, with at least 5 years focused on Microsoft Azure.
Proven experience architecting and deploying AI/ML solutions on Azure at scale.
Deep hands-on expertise with Azure ML, Azure OpenAI, Azure Databricks, Synapse Analytics, Data Factory, and Azure Kubernetes Service (AKS).
Strong proficiency in infrastructure-as-code using Terraform, Bicep, or ARM templates.
Solid understanding of MLOps, DevOps, and CI/CD pipelines (Azure DevOps, GitHub Actions).
Experience with cloud networking, security architecture, identity management (Entra ID / AAD), and compliance frameworks on Azure.
Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
Microsoft Azure certifications (e.g., Azure Solutions Architect Expert – AZ-305, Azure AI Engineer – AI-102).

Preferred Qualifications
Experience with Azure AI Foundry, Prompt Flow, or LLM orchestration frameworks (LangChain, Semantic Kernel).
Familiarity with multi-cloud or hybrid cloud architectures (Azure Arc).
Background in data mesh, data lakehouse, or modern data architecture patterns.
Experience with real-time data streaming using Azure Event Hubs or Azure Stream Analytics.
Prior experience in a consulting, pre-sales, or solutions architecture capacity.
Knowledge of responsible AI practices and AI governance frameworks.

Azure Cloud Architect – AI/ML & Data Services

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