[Hiring] AI Engineer @GOLDEN GATE UNIVERSITY

Role Description

The AI Engineer supports the redesign of GGU’s data infrastructure and reporting functions, with AI at the core, in partnership with the University’s executive leadership team.

The role has three core responsibilities:

• Build the AI tools and workflows that make GGU’s reporting functions more effective and efficient, including required reports to outside agencies and internal reports for University leadership.
• Build AI tools for data analysis in areas of leadership priority, such as enrollment projections and financial projections.
• Design AI tools and workflows to support other leadership priorities as assigned, in coordination with the Vice Provost for Digital Innovation where the work touches the academic experience or shared platforms.

Essential Duties and Responsibilities

Data Reporting Tools and Workflows

• Support the redesign of the University’s data infrastructure and reporting functions, with AI at the core, in partnership with executive leadership.
• Build AI tools and workflows to automate data flows from the University’s student information system (Ellucian Colleague) and other core systems.
• Make the University’s reports faster to produce and more reliable, including required reports to outside agencies and internal reports for leadership.
• Own the AI stack for institutional reporting and analysis: choose models and platforms, design prompts and agents, test for reliability, and manage integrations and costs.
• Keep the University’s data safe, with FERPA compliance, proper access controls, and good data governance.

Data Analysis Tools

• Build AI tools for analysis in areas of leadership priority, such as enrollment projections and financial projections.
• Work from goals and methods framed by the leadership team, and deliver tools that work and keep working.
• Turn analyses framed in spreadsheets into durable, self-updating tools.

Other Leadership Priorities

• Design AI tools and workflows in other areas of the University as needs arise, coordinating with the Vice Provost for Digital Innovation.
• Advise leadership on what AI tools can and cannot do well in institutional operations, and recommend where they will help most.

Qualifications

• Demonstrated experience building LLM-based tools used in production, including agent workflows, retrieval, structured extraction, tool use, and evaluation.
• Strong Python and solid SQL, with enough data engineering experience to connect AI tools to institutional systems reliably.
• A record of AI tools built, shipped, and maintained. Candidates should be prepared to demonstrate one.
• The ability to take a well-framed request from a non-technical leader and return a working tool, independently.
• Excellent communication skills and the ability to work effectively with senior leadership.

Preferred

• Experience in higher education.
• Experience with Ellucian Colleague or another student information system.
• Familiarity with FERPA.

Compensation

The salary range for this position is $150,000 to $175,000 depending on experience.

Application Process

Interested candidates should submit a letter of interest and resume to Nicholas Bradley at [email protected]. Candidates are encouraged to include a short note about an AI tool they built: what it does, who uses it, and how it has held up. Review of applications will begin immediately and continue until the position is filled.

Supplemental Information

To apply: Please go to http://www.ggu.edu/jobs to submit an application, letter of interest, and a resume.

In applying for a position, candidates sign a consent authorizing a broader inquiry which may include reference checks, a motor vehicle check, and a third-party background check.

Golden Gate University is an equal employment opportunity employer. We support inclusive excellence and are committed to creating a safe and welcoming community for all.

University policy prohibits discrimination based on race, color, religion/creed, national origin, ancestry, age, sex/gender, sexual orientation, marital status, medical condition, physical or mental disability, gender stereotyping, and gender identity, gender expression, military or veteran status, taking a protected leave (e.g., family medical or pregnancy leave), or on any other basis protected by applicable laws.

The University has a strong commitment to the principles of diversity and inclusion, and to maintaining working and learning environments that reinforce these practices. The University welcomes and encourages applications from all demographics.