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About the Role
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: building AI tools and workflows for reporting, creating AI tools for data analysis in priority areas, and designing AI tools to support other leadership priorities.
Responsibilities
- 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.
- Build AI tools for analysis in areas of leadership priority, such as enrollment projections and financial projections.
- Design AI tools and workflows in other areas of the University as needs arise, coordinating with the Vice Provost for Digital Innovation on any work that extends into the academic experience.
- Advise leadership on what AI tools can and cannot do well in institutional operations, and recommend where they will help most.
Requirements
- 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.
- 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.
Skills
- Python
- SQL
- Data Engineering
- LLM-based tools
- Agent workflows
- Retrieval
- Structured extraction
- Tool use
- Evaluation
Location
- San Francisco - San Francisco, CA
- Remote
Work Type
- Full-Time
- Exempt
- Remote
Salary/Compensations
- $150000.00 - $175000.00Salary/year
About the Company
- Golden Gate University is a private, nonprofit university in San Francisco focused on AI and built for working adults.
- GGU has served working adults for more than 120 years, and the University is building its future around AI, in its academic programs and in how the institution itself runs.
Equal Opportunity
- 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 reinforces these practices.
- The University welcomes and encourages applications from all demographics.