Associate AI Platform Engineer

University of North Texas System•Denton, TX

3d•Onsite

About The Position

The Associate AI Platform Engineer is responsible for building AI agents on multiple AI platforms, assisting in training others on the use of those platforms, and managing projects and testing efforts. They will be instrumental in governance activities and the expansion of AI use throughout the enterprise.

Requirements

Bachelor's degree in Computer Science, Information Systems, Computer Engineering, or a related field; or any equivalent combination of education, experience, or training.
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.

Nice To Haves

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.

Responsibilities

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.