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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Azure Infrastructure and AI Platform Engineering - **Company:** LEDGENT - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $125,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Microsoft Azure, Microsoft Online Services, Business Systems, Cloud Engineering, Collaborative Software, Software Design Patterns, Human Resources Information System (HRIS), Information Systems Security Architecture Professional, Search Technologies, Enterprise Data Management, Office365, Large Language Models, Model Validation, AI Platforms, Integration Frameworks, Machine Learning Operations - **Published:** June 30, 2026 - **Apply:** https://www.dice.com/job-detail/6c9c0149-73c4-40af-8fe1-92193106ac63 ## About the Role 10+ years of experience in technology with leadership across architecture or strategy Deep expertise in Azure including AI, data, and infrastructure services Experience designing AI platforms such as RAG systems, orchestration layers, and LLM ecosystems Strong background in enterprise data platforms and architecture Experience integrating enterprise business systems Strong understanding of APIs, identity, and secure architecture patterns Proven ability to influence executive stakeholders and present technical strategy Track record of leading complex, cross-functional programs PREFERRED Experience with Microsoft ecosystem tools (M365, collaboration platforms, automation tools) Experience in infrastructure-heavy or operations-focused environments Azure certifications (architecture, AI, or data) Experience with MLOps, governance, and AI lifecycle management Exposure to integration platforms or automation tooling ## Description Manager, Azure Infrastructure and AI Platform Engineering This is a high-impact leadership role responsible for defining and executing the organization's AI platform strategy and cloud architecture roadmap. You will own the direction for how AI, data, and enterprise systems integrate and scale, working directly with executive leadership while remaining hands-on with architecture and engineering decisions. This role blends strategy, architecture, and execution, requiring the ability to operate at both executive and technical levels., Technology Strategy and AI Direction Define and lead enterprise AI strategy including platform architecture, model selection, and automation priorities Evaluate AI models and frameworks based on performance, cost, and scalability Build and maintain a multi-year technology roadmap aligned to business objectives Act as a strategic advisor to leadership on AI-related investments and decisions Lead build versus buy and vendor evaluation decisions Enterprise Architecture and Platform Design Architect an end-to-end Azure-based AI platform including data, AI, and integration layers Design systems supporting RAG architectures, multi-model orchestration, and semantic search Own data platform strategy including lakehouse architecture and governance Define integration approaches across enterprise systems (ERP, HRIS, operational platforms, collaboration tools) Establish architecture standards, governance, and design patterns Delivery Leadership and Execution Lead and mentor engineering and platform resources across cloud, data, and automation Drive initiatives such as intelligent automation, document processing, and workflow optimization Partner with cross-functional stakeholders across finance, operations, and IT Deliver measurable outcomes tied to efficiency, cost savings, and scalability Align AI initiatives with broader cloud and productivity platform strategies ## 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) - [This App Reached 10,000 Users in One Week. 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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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)