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- Gonzaga Main Campus, Washington
- Regular full-time (staff 30+ hours)
- Closing at: Jun 27 2025 - 23:55 PDT
- Title:** AI Engineer (Level 1)
- VP Area:** Inst for Informatics & Applied Tech
- Department:** Inst for Informatics & Applied Tech
- Work Schedule: **Fixed daytime hours Monday-Friday
- Telework Availability: **Occasional Telework Available
- FLSA Status: **Exempt
- Employee Classification: **Regular full-time (staff 30+ hours)
- Hours per week: **40
- Months per year: **12
- CV/Resume: detailed experiences and skillsets directly relevant to this AI Engineer position.
- Cover Letter: describing personal and professional interests for this AI Engineer position and being part of the Institute for Informatics and Applied Technology at Gonzaga University.
Job Purpose
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.
Essential Functions
35% - Investigate and Develop AI and ML software stack for partners
- 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.
- In collaboration with the IIAT team to develop custom AI technology prototypes that fit partner's needs.
- Assist partners to acquire necessary knowledge and skills to use and expand upon the prototypes.
Proactively 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 a
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