If you’re passionate about building scalable AI platforms and want to contribute to meaningful innovation in higher education, this opportunity at the University of North Texas (UNT) could be the perfect next step. As an AI Platform Engineer, you’ll help develop, deploy, and maintain AI-powered solutions that support research, education, and institutional initiatives. You’ll work alongside talented professionals in a collaborative environment while enjoying competitive pay, excellent benefits, and opportunities for professional growth.
Job Overview
| Field | Details |
|---|---|
| Company Name | University of North Texas |
| Role | AI Platform Engineer |
| Qualification | Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience). Relevant experience with AI platforms, cloud technologies, and software engineering is typically preferred. |
| Job Location | Denton, Texas, USA |
| Salary | $85,000–$115,000 USD per year |
| Work Type | Full-Time |
| Job Type | On-site / Hybrid (subject to department requirements) |
| Job Level | Entry Level |
| Industry | Higher Education / Information Technology / Artificial Intelligence |
Job Description
The Associate AI Platform Engineer is responsible for building AI agents on multiple AI platforms, assist in training others on the use of those platforms, manage projects and testing efforts. They will be instrumental in governance activities and the expansion of AI use throughout the enterprise.
Minimum Qualifications
Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field; or any equivalent combination of education, experience, or training.
Knowledge, Skills and Abilities
- Foundational knowledge of AI platform architecture, deployment, and operations.
- Familiarity with or eagerness to learn Model Context Protocol (MCP), agent orchestration, and Microsoft Azure AI services.
- Proficiency or coursework in programming languages such as Python, C#, or JavaScript relevant to AI agent development.
- Understanding of cloud infrastructure concepts, including networking and authentication basics.
- Ability to assist with monitoring, logging, and operational controls for enterprise platforms.
- Skill in producing documentation, templates, and reference materials.
- Ability to translate business requirements into technical solutions with guidance.
- Strong collaboration and communication skills with cross-functional teams.
- Awareness of AI governance, regulatory compliance, and data privacy principles.
- Analytical aptitude and a structured approach to problem-solving.
- Eagerness to learn and adapt to rapidly evolving AI technologies and platforms.
Preferred Qualifications
- Coursework, academic projects, or hands-on experience with cloud platforms, AI tools, or agent frameworks.
- Familiarity with Azure AI Foundry, Azure OpenAI, or similar cloud AI services.
- Exposure to MCP servers or agent orchestration concepts.
- Experience with Cloudforce’s nebulaONE platform.
- Interest in or exposure to higher education or regulated environments.
Required License/Registration/Certifications
Job Duties
- Design and build AI agents.
- Design and deploy secure back-end infrastructure and tools to assist in the integration and build of agents.
- Develop multi-model integrations and manage secure access to AI.
- Develop and maintain training for AI resources.
- Review and assess requests for AI tools and resources and insure adherence to UNT System regulations, policies, standards, and procedures.
- Maintain customer and public-facing information regarding AI tools and capabilities.
Physical Requirements
- Communicating with others to exchange information.
Selection Process
- Submit an online application.
- Application and resume screening.
- Initial recruiter or hiring manager review.
- Technical assessment or skills evaluation (if required).
- Interview(s) with the hiring team.
- Reference and background verification.
- Final hiring decision and job offer.
How to Apply
- Visit the official University of North Texas careers portal.
- Search for the AI Platform Engineer position in Denton, TX.
- Review the job description and eligibility requirements.
- Prepare your updated resume and any required supporting documents.
- Complete the online application form.
- Upload the required documents and submit your application.
- Monitor your email and the careers portal for updates regarding the recruitment process.
