AI Fellow

DORIS DUKE MANAGEMENT FOUNDATION•New York, NY

6d•$40•Onsite

About The Position

The AI Fellow will work closely with the Technology department and senior leadership to accelerate how AI is applied across the foundation’s work. In close partnership with the Chief Technology Officer and President and CEO, this role will also advise and contribute to the foundation’s overall AI strategy. This is a short-term, high-impact role for a technically strong builder who can move quickly between experimentation and practical implementation. The Fellow will help identify where AI can improve how DDF operates, build and test lightweight solutions, and translate emerging capabilities into clear, usable approaches for teams.

Requirements

Strong hands-on experience working with LLMs and generative AI tools (e.g., ChatGPT, Codex, Airtable AI).
Experience building applied AI projects and prototypes.
Familiarity with concepts such as embeddings, APIs, orchestration frameworks or lightweight model customization.
Ability to move between technical implementation and structured thinking about systems and workflows.
Clear written and oral communication skills, with the ability to explain technical concepts to non-technical audiences.
Comfort operating independently, testing ideas quickly and refining based on feedback.
Candidates who are recent college graduates or graduating in spring 2026 are strongly encouraged to apply.

Nice To Haves

Experience building internal tools preferred.

Responsibilities

Inspire the Doris Duke Foundation organization to build with AI tools in mind.
Track developments in large language models and applied AI, with a focus on practical implications for DDF’s work.
Identify opportunities where AI can improve speed, clarity or decision-making across programs and operations.
Translate technical capabilities into specific, usable applications for non-technical teams.
Develop and test prototypes for internal tools, workflows and small applications.
Work across existing systems (e.g., CRM, ERP, knowledge systems) to explore AI-enabled enhancements.
Support the development of structured approaches to retrieval, summarization and internal knowledge use.
Partner with teams across Programs, Finance, Influence & Marketing and Operations to test AI use cases in real workflows.
Help refine prompts, processes and lightweight systems that can be adopted by staff.
Document and share learnings in a way that supports broader adoption.
Develop training materials and recipes for AI success.
Brief internal teams on relevant AI developments and their potential impact on the foundation.
Provide clear, grounded guidance on trade-offs, risks and practical implementation.
Support alignment with DDF’s AI policy and data classification standards.
Perform other work, including special projects, as assigned.