AI Intern

DivcoWest•San Francisco, CA

4h•Onsite

About The Position

The AI Intern will join the Technology team to design and implement intelligent solutions that make work smoother, smarter, and more efficient across the organization. Working closely with teams throughout the firm, this role will explore how generative AI and automation can streamline operations, surface insights, and improve efficiency across multiple departments. This position is based in our San Francisco headquarters and requires 4+ days in office. The internship is full-time for approximately 12 weeks, with the option for extension. Exact schedule can be adjusted to accommodate the right candidate.

Requirements

Current undergraduate or graduate student pursuing a degree in Computer Science, Information Systems, Data Analytics, Business, or a related field.
Demonstrated curiosity about AI, automation, and digital transformation in the workplace.
Familiarity with tools such as ChatGPT, Claude, Microsoft CoPilot, Zapier, Notion AI, or similar platforms.
Strong analytical and communication skills with the ability to translate technical ideas into practical business solutions.
Highly organized, detail-oriented, and proactive in managing multiple projects.
Thrives in a collaborative and fast-paced environment.

Nice To Haves

Experience or coursework in Python, workflow automation, or dashboard design a plus.

Responsibilities

Conduct workflow audits across departments to identify and document processes most ready for automation.
Prototype automated processes and workflows to reduce manual effort and increase consistency.
Partner with the Technology team and department stakeholders to integrate systems that support smoother cross-functional workflows.
Prototype an AI-assisted tool for a target department as a pilot project.
Create visual dashboards integrating operational data and company metrics to generate actionable leadership insights.
Contribute to the design of custom AI assistants for internal teams, supporting content structure, data organization, and prompt library development.
Research, identify, and propose outside AI tools to assist with internal efficiency; assist with training and implementation.
Build and maintain AI learning resources and trainings for teams across the firm to support adoption of key AI tools.
Own data management and documentation for assigned projects, including tracking milestones, decisions, and outcomes.
Document project discussions and action items to promote accountability across AI-related workstreams.