AI Prompt Engineer

Job Summary

The AI Prompt Engineer will ensure The University of Texas at Arlington’s AI tools deliver clear, accurate, and user-friendly experiences that make automation simple and effective. This role combines design expertise, content awareness, and AI skills to create prompts and behaviors that improve administrative efficiency and support faculty and staff adoption. The AI Interaction Designer utilizes knowledge of Large Language Model architectures, prompt engineering, Python, and APIs to fulfill solution development.

Minimum Qualifications

• Bachelor’s degree in computer science, Human-Computer Interaction, Information Technology, UX/UI Design.
• Three (3) years of experience in product design, information architect, UX design or Technical Writer role, or seven (7) years of an equivalent mix of education and relevant experience in a similar role.

Preferred Qualifications

• Master’s degree in Human-Computer Interaction, Computer Science, or Data Science.
• Five (5) years of experience in product design, information architect, UX Design or Technical Writer role.
• Professional certifications in AI, prompt engineering, or UX design (AI+ Prompt Engineer Level 1™, Coursera Prompt Engineering Specialization, Certified Prompt Engineer®).
• Experience with multimodal AI systems and advanced prompt engineering techniques.

Essential Duties And Responsibilities

• Creates intuitive AI-driven interactions—such as chatbots and voice assistants—that prioritize a seamless and effective user experience. Applies principles of trust, transparency, and explainability to ensure ethical, user-centered AI design.
• Develops and refines prompts for large language models (LLMs) to generate accurate and relevant outputs. Conducts testing and iterative improvements to optimize LLM performance. Leverages expertise in machine learning, natural language processing (NLP), and multimodal AI to enhance prompt effectiveness.
• Builds prototypes of AI-driven interfaces to test and demonstrate functionality. Conducts usability testing to validate clarity, effectiveness, and user-friendliness. Analyzes feedback and data to iteratively refine designs for improved user outcomes.
• Applies knowledge of large language model (LLM) architecture, token economy, and prompt engineering techniques. Uses Python, APIs, and version control tools (Git) to implement scalable AI solutions. Maintains and optimizes AI solutions to ensure reliability, performance, and long-term scalability.
• Incorporates the full software development life cycle to develop clear and comprehensive documentation for all solutions.
• Collaborates closely with cross-functional teams—including OIT, data custodians, developers, and product managers—to ensure AI projects align with strategic goals. Remains current with emerging AI technologies and incorporates relevant advancements into project solutions.
• Ensures that all AI solutions adhere to federal, state, and university policies and legal requirements regarding accessibility, privacy, and ethical standards.
• Perform other duties as assigned.

Key skills/competency

• Prompt Engineering
• Large Language Models (LLMs)
• LLM Architectures
• Python Programming
• API Integration
• UX Design Principles
• Natural Language Processing (NLP)
• Usability Testing
• Version Control (Git)
• Ethical AI Design