DeVry University
AI Platform Engineer
Edtech.com's Summary
- Design and implement AI solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, and Microsoft Fabric
- Develop reusable AI services, agent frameworks, and evaluation pipelines
- Create reference architectures for multi-agent workflows and Human-In-The-Loop processes
- Implement AI-enabled data solutions leveraging OneLake, Lakehouse, Data Warehouse, and Power BI
- Provide guidance on monitoring, telemetry, cost allocation, and agent reliability metrics
- Manage prompt versioning, model routing controls, and usage monitoring via GitHub and automation tools
- Collaborate with Emerging Technology team, IT, and business functions to translate use cases into solutions
- Required skills include Python, TypeScript/JavaScript, Git, CI/CD, and Microsoft AI services such as Copilot Studio, Azure AI Foundry, Semantic Kernel, LangChain, and MCP
- Minimum 5 years software engineering experience with 3+ years in Azure AI services and RAG architectures
- Compensation ranges from $140,000 to $160,000 annually plus eligibility for an annual incentive bonus
AI Platform Engineer Full Description
DeVry University strives to close our societyâs 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. 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 DeVryâs 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
Cross-Functional Collaboration
⢠Being part of the Emerging Technology team, this role will collaborate with other team members as well as IT and business functions
⢠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, 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.
DeVry University offers benefit options for full-time colleagues, including:
⢠401k with up to 6% company match
⢠Tuition assistance and career development opportunities
⢠Remote & hybrid opportunities
⢠Comprehensive health coverage (medical, dental, vision, and mental health)
⢠FSA/HSA options, disability & life insurance
Benefits vary based on employment status.
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.
