AI Platform Engineer

Das ist der Job

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Cross‑Functional Collaboration Collaborate with other Emerging Technology team members as well as IT and business functions. Benefits 401(k) with up to 6% company match. Benefits vary based on employment status.

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.

At DeVry University, we care about you because only through you can we deliver our unique Care Formula to our learners and partners. Overview The AI Platform Engineer - Microsoft AI Ecosystem is responsible for designing, implementing, and operating DeVry’s enterprise AI platform capabilities.

This role combines platform engineering, AI architecture, solution development, and technical governance. The engineer will work across Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Copilot Studio, Microsoft 365 Copilot, Azure AI Search, and related services to create reusable AI services that support business solutions across the university.

Responsibilities Microsoft AI Platform Engineering 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.

AI Architecture & Reference Implementations Create reference architectures for agents, RAG (if required), 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.

Microsoft Fabric & Data Integration 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.

Observability Provide guidance on monitoring, telemetry, evaluation frameworks, token tracking, cost allocation, prompt performance, and agent reliability metrics. Support deployment, rollback, versioning, and incident response.

Technical Governance Enablement 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. Translate business use cases into reusable technical solutions.

Qualifications Required 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. Preferred Azure AI Engineer Associate. Hands‑on experience with Microsoft Fabric, Vector databases, and regulated industries with more than 1,000 employees.

This position is eligible for an annual incentive bonus. *This job will be posted for 30 days from the posting date. Tuition assistance and career development opportunities. Remote & hybrid opportunities. Comprehensive health coverage (medical, dental, vision, and mental health). FSA/HSA options, disability & life insurance.

We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported. #J-18808-Ljbffr