More jobs:
Prompt Engineer
Job in
Arlington, Tarrant County, Texas, 76000, USA
Listed on 2026-03-01
Listing for:
University of Texas at Arlington
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Special Instructions
Applicants must include in their online resume the following information:
1) Employment history: name of company, period employed (from month/year to month/year), job title, summary of job duties;
2)
Education:
school name, degree type, and major.
- Posting Number: S06581P
- Position Title:
AI Prompt Engineer - Department: OIT Publishing & Development
- Location:
Arlington - Position Status:
Full-time - Work Schedule:
Monday to Friday, 8:00 AM to 5:00 PM - Salary: commensurate based on qualifications and relevant experience
- Pay Basis:
Monthly
The Prompt Engineer will ensure UTA’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 uses knowledge of Large Language Model architectures, prompt engineering, Python and APIs to fulfill solution development.
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 explainable AI to ensure ethical, user‑centered 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, then analyzes feedback and data to iteratively refine designs.
- Applies knowledge of LLM architecture, token economy, and prompt engineering techniques. Uses Python, APIs, and version control tools (Git) to implement scalable AI solutions, and maintains and optimizes them for 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—OIT, data custodians, developers, and product managers—to ensure AI projects align with strategic goals, while staying current with emerging AI technologies.
- Ensures all AI solutions comply with federal, state, and university policies and legal requirements concerning accessibility, privacy, and ethical standards.
- Performs other duties as assigned.
- Bachelor’s degree in computer science, Human‑Computer Interaction, Information Technology, or UX/UI Design.
- Three (3) years of experience in product design, information architecture, UX design or technical writing; or seven (7) years of an equivalent mix of education and relevant experience.
- Master’s degree in human‑Computer Interaction, Computer Science, or Data Science.
- Five (5) years of experience in product design, information architecture, UX design or technical writing.
- Experience with multimodal AI systems and advanced prompt engineering techniques.
- Advanced prompt engineering for LLMs, including context management and optimization.
- Understanding of LLM architectures, token economy, and scalable AI solutions.
- Proficiency in Python, API integration, and Git.
- Familiarity with machine learning fundamentals, NLP, and multimodal AI.
- Human‑centered design principles for conversational interfaces.
- Knowledge of prototyping, testing, and refining AI‑driven interactions.
- Experience conducting usability studies, journey mapping, and iterative design.
- Ability to work with cross‑functional teams (OIT, academic departments, administrative units, innovation teams).
- Strong interpersonal and communication skills for stakeholder engagement.
- Analytical thinking and creative problem‑solving skills.
- Knowledge of accessibility, privacy, and ethical standards in AI.
- Workplace and eligibility conditions:
Standard office working…
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