AI Engineer

• Title**: AI Engineer
• VP Area**: Inst for Informatics & Applied Tech
• Department**: Inst for Informatics & Applied Tech
• Work Schedule**: Fixed daytime hours Monday-Friday
• Telework Availability**: Hybrid Available (This role may be eligible for remote work upon review.)
• FLSA Status**: Exempt
• Employee Classification**: Regular full-time (staff 30+ hours)
• Hours per week**: 40
• Months per year**: 12

The Institute for Informatics and Applied Technology (IIAT) aims to drive faculty, students, and community innovations via responsible artificial intelligence and data science practices. Through rigorous academic offerings, collaboration with industry and interdisciplinary research, IIAT prepares students and professionals across disciplines for leadership with technical expertise in informatics while critically examining the ethical and societal implications of emerging technologies. The Institute provides opportunities for collaborative, experiential learning through ideation, problem solving and entrepreneurial exploration, supporting student-led innovation and industry and community partnerships to drive AI-enabled advances for the benefit of humanity.

This position will responsibly explore, develop, and use technology advances in AI and machine learning, to help elevate the GU and partners' knowledge and competency in these technological areas and consequently innovate for responsible learning, teaching, and business operations. This position will work closely with the IIAT Director and other staff members to continue advance their own knowledge and skillset in these areas and how they connect to humanity and society for responsible technology innovation. This position will focus primarily on AI-powered visual analytics for various application domains.

Essential Functions

35% - Investigate and Develop AI and ML software, specifically for generative AI enabled visual analytics

Actively work with GU faculty, students, staff, and external partners to investigate and develop specialized AI/ML systems, including generative AI technologies, for teaching, research, and business operations.

Independently develop custom AI technology and systems that fit partner's needs.

Assist partners to acquire necessary knowledge and skills to use the developed system.

30% - Research and report AI/ML and visualization technology advances

Proactively and independently explore and attain specialized AI advances and technologies, including but not limited to LLM architecture, prompt engineering, fine-tuning/alignment, and guard rails, from a variety of sources.

Independently apply attained technology advances to support partners' teaching, research, and business operation needs.

Independently and regularly investigate advances in generative AI, and report and discuss such advances with the Director and the other IIAT staff.

Work closely with the Director and partners to disseminate findings through paper writing, blog posting, git release, and assess commercialization viability to prepare IP documentation if deemed viable.

15% - Develop training and learning material

Independently design AI/ML exercises that will provide experiential learning experience for the learners who might have diverse background in different instances.

Collaborate with the Director and other IIAT staff to develop visualization for training exercises and material for faculty, students, staff, and extended partners.

Assist in delivery and assessment of the training and learning sessions.

10% - Assist the IIAT Director and col