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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Microsoft Azure Data & AI Solution Architect - **Company:** NextGen Staffing - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Services, Microsoft Azure, Cloud Computing, Data Governance, Extract Transform Load (ETL), Data Security, Data Visualization, Data Warehousing, Python (Programming Language), Machine Learning, Metadata Repositories, Power BI, Azure Machine Learning, SQL Databases, Systems Integration, Microsoft Power Automate, Azure Data Factory, AI Platforms, Api Management, Programming Languages - **Published:** June 30, 2026 - **Apply:** https://www.dice.com/job-detail/8ad8bb43-410c-4918-991b-a331feafe482 ## About the Role * In-depth knowledge of Azure data services (e.g., Azure Fabric, Azure Data Factory, OneLake, Data warehouse), AI services (AI Foundry, Azure Machine Learning, Azure Cognitive Services, etc.), Azure Application and Integration Services (API Management, Application Gateway, Power Automate). * Strong understanding of data modeling, ETL processes, and data warehousing concepts. * Experience with programming languages such as Python, R, or SQL, and familiarity with data visualization tools (e.g., Power BI). * Strong knowledge of data governance, data security, and compliance practices. * Experience with data catalogs and lineage plotting tools. * Deep understanding of AI models lifecycles, from initial data sourcing to deployment and production model upkeep. * Working knowledge and proficiency in the development of implementation and adoption plans for composable AI offerings, including documentation of configuration requirements. Soft Skills: * Excellent analytical and problem-solving abilities. * Strong communication and interpersonal skills to collaborate with cross-functional teams. * Ability to lead projects and mentor junior staff. * Auto Insurance claims industry experience preferred. ## Description Azure Data and AI Ecosystem: * Design, implement, and integrate Azure services such as Azure Data Fabric, Azure Data Factory, OneLake, Purview Unified Catalog, AI Foundry, Machine Learning, Cognitive Services, Power BI, Power Automate, and application services to deliver high quality data and AI products to our members. * Generate and spearhead the execution of a multi-year implementation roadmap for the Azure data and AI ecosystem that includes individual components and their integration to create a continuum to support AF's AI-powered solutions. * Optimize the Azure data and AI ecosystem to iteratively support growing complexity and more sophisticated operations as new use cases and AI solutions are identified and delivered. * Ensure that Azure-based data and AI solutions include embedded metrics to understand performance and aid in maintenance and support activities. * Operate and administer AF's data and AI Azure ecosystem to ensure that best practices are utilized and alignment of AF's operating, security and compliance polices are observed. * Manage the Azure data and AI ecosystem costs, working with stakeholders to identify and set budgets for Azure services, and monitoring consumption and licensing for Azure data and AI products and services. * Orchestrate the utilization of Azure AI suite of products and services to support best practices in the development, testing, integration, and deployment of AI models and algorithms. * Coordinate with data engineers and teams, AI engineers and developers, application and infrastructure teams, and data governance and security teams to ensure that deployed AI-powered solutions are ready for hand off to support teams, ensuring knowledge transfer is adequate for the successful maintenance and support of AI solutions. * Identify and resolve technical issues related to cloud infrastructure and applications, providing timely support and solutions. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## 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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)