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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Architect (Local to Niles) - **Company:** Insight Global - **Location:** Rosemont, IL, United States - **Experience:** Expert - **Salary:** $122,720.0 - $153,920.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, System Configuration, Continuous Integration, Information Engineering, DevOps, Github, Identity and Access Management, Machine Learning, Role-Based Access Control, Azure Active Directory, Azure Machine Learning, Azure Data Lake, Azure Data Factory, Snowflake, Bicep, Azure AKS, Data Management, Machine Learning Operations, Terraform, Azure Synapse Analytics, Databricks - **Published:** June 4, 2026 - **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/illinois/rosemont/cloud-architect-local-to-niles-/job-537332/ ## About the Role * 8+ years of experience in cloud architecture and engineering, with at least 5 years focused on Microsoft Azure. * Proven track record in provisioning configuring, and managing resources and services of Microsoft Foundry ecosystem * 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 or AI-103). ## Description * Architect, design, and implement end-to-end Azure cloud solutions with a focus on AI/ML workloads, data engineering pipelines, and platform infrastructure. * Lead the adoption and integration of Azure AI/ML services including Azure Machine Learning, Azure OpenAI Service, Cognitive Services, and Snowflake. * Define and enforce cloud architecture standards, patterns, and best practices across development teams. * Design secure, scalable data platforms using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, and related services. * Collaborate with data scientists and ML engineers to operationalize ML models through MLOps practices (CI/CD for models, monitoring, retraining pipelines). * Drive infrastructure-as-code (IaC) adoption using Terraform or Bicep templates. * Conduct architecture reviews, cloud readiness assessments, and provide technical guidance on migrating on-premises workloads to Azure. * Ensure compliance with security, governance, and cost management requirements (Azure Policy, RBAC, Defender for Cloud, FinOps). * Mentor and upskill engineering teams on Azure best practices and AI/ML service capabilities. * Engage with stakeholders to present architecture proposals, roadmaps, and technical recommendations. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)