AI Platform Engineer

Job summary

DeV*** 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. Our colleague experience is an area of obsessive focus.

Benefits

Qualifications

• Our colleague experience is an area of obsessive focus.
• 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, Microsoft Fabric, Vector databases, and in regulated industries with more than 1000 employees
• This position is eligible for an annual incentive bonus.
• This job will be posted for 30 days from the posting date.
• DeV*** offers benefit options for full-time colleagues, including:

Responsibilities

• The AI Platform Engineer - Microsoft AI Ecosystem is responsible for designing, implementing, and operating DeVry’s enterprise AI platform capabilities.
• 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

Degrees

Industry

Company size