Associate AI Platform Engineer

University of North Texas System

$70K — $95K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Computer Engineering, or related field.
  • Foundational knowledge of AI platform architecture, deployment, and operations.
  • Proficiency or coursework in programming languages like Python, C#, or JavaScript.
  • Understanding of cloud infrastructure concepts, including networking and authentication basics.
  • Awareness of AI governance, regulatory compliance, and data privacy principles.

Responsibilities

  • Design and build AI agents.
  • Deploy secure back-end infrastructure to assist in agent integration.
  • Develop multi-model integrations and manage secure access to AI.
  • Create and maintain training for AI resources.
  • Review requests for AI tools and ensure adherence to regulations.

Benefits

  • Comprehensive benefits package including health insurance and retirement plans.
  • Opportunities for professional development and continuous learning.
  • Supportive work environment that promotes collaboration and innovation.
Full Job Description
Associate AI Platform Engineer

Job no: 514602
Work type: Staff
Location: Denton
Categories: Information Technology

Title: Associate AI Platform Engineer

Employee Classification: Associate AI Platform Engineer

Campus: University of North Texas - System Administration

Division: SYS-Information Technology

SubDivision-Department: SYS-Information Technology

Department: SYS-Information Technology-925000

Job Location: Denton

Salary: Commensurate with experience

FTE: 1.000000

Retirement Eligibility:

Position Overview

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.


Environmental Hazards

  • No adverse environmental conditions expected.


Work Schedule

Generally, M-F, 8am - 5pm

Driving University Vehicle

No

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.

Benefits

For information regarding our Benefits, click here.

Advertised: 21 Jul 2026 Central Daylight Time
Applications close:

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