Research AI Engineer

Job summary

Posting Number req26446 Department Office of Responsible AI Department Website Link https://responsibleai.arizona.edu/ORAI Location Tucson Campus Address Tucson, AZ USA Position Highlights The Office of Responsible AI (ORAI) at the Uni*** is accepting applications for a Research AI Engineer.

Benefits

Qualifications

• Assists in preparing technical documentation, reports, and research materials for project records, publications, and presentations.
• Supports routine research activities including data collection, preprocessing, evaluation, and analysis.
• Troubleshoots routine technical issues in research software and AI workflows and escalates more complex problems to senior staff as appropriate.
• Following established procedures maintains and optimizes research software applications, APIs, and
• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field; or equivalent advanced learning attained through professional-level experience.
• Minimum of 1 year of relevant work experience in AI/ML model development, data science, or research computing; or equivalent combination of education and work experience.
• Preferred
• Experience with large language models (LLMs), retrieval-augmented generation (RAG), or AI agent frameworks in research contexts.
• Experience with version control systems (Git/GitHub), collaborative development workflows, and reproducible research practices.
• Experience implementing MLOps practices including experiment tracking (MLflow, W&B), model registries, CI/CD pipelines, and model monitoring.
• FLSA Exempt
• Full Time/Part Time Full Time

Responsibilities

• Assists with the development, testing, and maintenance of basic AI models and related research software to support faculty-led research initiatives.
• Supports data collection, cleaning, preprocessing, and organization activities using established procedures and guidance from senior team members.
• Implements experiment tracking, and automated retraining following established protocols.
• Assimilates routine AI models into research infrastructure using containerization (Docker/Kubernetes) and cloud platforms (AWS Bedrock, Azure ML, or equivalent) following established procedures.
• Works within appropriate AI frameworks,
• The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.
• Minimum
• a candidate’s work experience, education/training, key

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