AI Platform Engineer
DeVry University · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Job highlights
- Design and implement AI platform capabilities.
- Develop reusable AI services and agent frameworks.
- Create reference architectures for AI workflows.
- Integrate AI with Microsoft Fabric and data services.
- Collaborate across IT and business functions.
About the role
AI Platform Engineer Microsoft Ecosystem
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.
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 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
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.
Required Qualifications
- 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 Qualifications
- 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.
Key skills/competency
- AI Platform Engineering
- Microsoft AI Ecosystem
- Azure AI Foundry
- Azure OpenAI
- Copilot Studio
- Microsoft Fabric
- RAG Architecture
- Python
- TypeScript
- Git
Skills & topics
- AI Platform Engineer
- Microsoft AI
- Azure AI
- Copilot Studio
- Microsoft Fabric
- RAG
- Python
- TypeScript
- Software Engineering
- Technical Governance
How to get hired
- Tailor your resume: Highlight your 5+ years of software engineering and 3+ years of Azure AI experience.
- Showcase key skills: Emphasize Python, TypeScript, Git, CI/CD, RAG architecture, and specific Azure AI services.
- Prepare for technical questions: Be ready to discuss AI architecture, RAG implementation, and Microsoft AI ecosystem services.
- Demonstrate collaboration: Highlight cross-functional teamwork and translating business needs into technical solutions.
- Highlight preferred qualifications: If applicable, mention Microsoft Fabric, Vector databases, or regulated industry experience.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific Microsoft AI services are most critical for the AI Platform Engineer role at DeVry University?
- The AI Platform Engineer role at DeVry University heavily relies on services within the Microsoft AI Ecosystem, including Azure AI Foundry, Azure OpenAI, Copilot Studio, Microsoft Fabric, and Azure AI Search. Proficiency in these technologies is essential for designing, implementing, and operating the enterprise AI platform capabilities.
- How does DeVry University emphasize colleague experience for its AI Platform Engineers?
- DeVry University states that colleague experience is an area of 'obsessive focus,' emphasizing care for employees. This commitment aims to enable them to deliver a unique 'Care Formula' to learners and partners, suggesting a supportive and people-centric work environment for the AI Platform Engineer.
- What are the key responsibilities for an AI Platform Engineer at DeVry University regarding AI architecture?
- For the AI Platform Engineer role at DeVry University, key responsibilities include creating reference architectures for agents, RAG, tool calling, multi-agent workflows, and Human-In-The-Loop (HITL) systems. They also provide guidance on selecting appropriate AI tools like Copilot, Foundry, and various enterprise models.
- What programming languages and tools are essential for the AI Platform Engineer position at DeVry University?
- Essential programming languages and tools for the AI Platform Engineer at DeVry University include Python, TypeScript/JavaScript, and Git. Hands-on experience with CI/CD, Copilot Studio, Azure AI Foundry, Azure AI Search, Semantic Kernel, LangChain, and MCP is also required.
- Does DeVry University offer remote or hybrid work arrangements for the AI Platform Engineer role?
- Yes, DeVry University explicitly mentions 'Remote & hybrid opportunities' as part of their benefit options for full-time colleagues, indicating that the AI Platform Engineer position may be available in a remote or hybrid work arrangement.
- What is the typical career progression for an AI Platform Engineer at DeVry University?
- While specific career paths aren't detailed, DeVry University offers 'Tuition assistance and career development opportunities' for full-time colleagues. This suggests a commitment to employee growth, which can support career progression for an AI Platform Engineer within the organization.
- How does DeVry University ensure technical governance for its AI platform?