AI Platform Engineer

🔥 2 hours ago

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Logo of DeVry University

DeVry University

1001 - 5000 employees

📚 Education

👥 B2C

Education • B2C

DeVry University is a private, career-focused university offering online and on-campus undergraduate and graduate degree programs, certificates, and workforce solutions. Its curriculum emphasizes technology, business, and healthcare fields (including programs in cybersecurity, software development, information technology, accounting, healthcare administration, and medical billing & coding), with services for working adults such as employer tuition benefits, military and transfer student support, and career services. DeVry also includes the Keller Graduate School of Management and highlights hands-on, career-centered learning and student support.

📋 Description

• Design and implement AI solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Microsoft Fabric • Build reusable AI services, agent frameworks, prompt registries, evaluation pipelines, MCP integrations, and tool catalogs • Establish engineering standards for enterprise AI development • Create reference architectures for agents, RAG, tool calling, multi-agent workflows, and Human-In-The-Loop (HITL) workflows • Provide technical guidance on when to use Copilot, Foundry, Agentforce, ChatGPT Enterprise, Claude Enterprise, and private models • Design AI-enabled solutions leveraging OneLake, Lakehouse, Data Warehouse, Data Factory, and Power BI • Establish reusable AI-ready data patterns and provide guidance to data engineering as required • Provide guidance on monitoring, telemetry, evaluation frameworks, token tracking, cost allocation, prompt performance, and agent reliability metrics • Support deployment, rollback, versioning, and incident response • Implement prompt versioning using GitHub, agent approval workflows, model routing controls, tool access controls, and usage monitoring • Automate quality control using agents in collaboration with innovation architect • Collaborate with other team members as well as IT and business functions • Translate business use cases into reusable technical solutions

🎯 Requirements

• 5+ years software engineering experience • 3+ years of hands-on experience building solutions using Azure AI services. • Experience designing and implementing RAG architectures. • Hands-on experience with Python, TypeScript/JavaScript, Git, CI/CD, Copilot Studio Azure AI Foundry, Azure AI Search, Semantic Kernel, LangChain, and MCP • Azure AI Engineer Associate. • Hands-on experience, Microsoft Fabric, Vector databases, and in regulated industries with more than 1000 employees

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