AI Engineer III at University of Utah Health designs, develops, and implements artificial intelligence solutions to solve complex problems and enhance business processes. The role involves collaborating with data scientists, software engineers, and other stakeholders to integrate AI technologies into existing applications and systems, building, training, and deploying AI models with large datasets, and maintaining production AI systems. Responsibilities include developing, deploying, and managing AI systems in production, optimizing model performance, documenting AI models and systems, and providing technical guidance to junior team members. Qualifications include a Bachelor's degree in Computer Science, Engineering, or a related field, and three years of experience in AI development. Preferred qualifications include experience with coding agents (e.g., Claude Code, Codex, Gemini CLI) and frontend experience (React), plus familiarity with cloud platforms (AWS, Azure, Google Cloud), version control, and ML frameworks. The position is based in Salt Lake City, Utah, with a hybrid work arrangement.

AI Engineer III at University of Utah Health designs, develops, and implements artificial intelligence solutions to solve complex problems and enhance business processes. The role involves collaborating with data scientists, software engineers, and other stakeholders to integrate AI technologies into existing applications and systems, building, training, and deploying AI models with large datasets, and maintaining production AI systems. Responsibilities include developing, deploying, and managing AI systems in production, optimizing model performance, documenting AI models and systems, and providing technical guidance to junior team members. Qualifications include a Bachelor's degree in Computer Science, Engineering, or a related field, and three years of experience in AI development. Preferred qualifications include experience with coding agents (e.g., Claude Code, Codex, Gemini CLI) and frontend experience (React), plus familiarity with cloud platforms (AWS, Azure, Google Cloud), version control, and ML frameworks. The position is based in Salt Lake City, Utah, with a hybrid work arrangement.