AI Training and Enablement Specialist

Duke Careers • Durham, NC

5d • Hybrid

About The Position

The Innovation Co-Lab within Duke University's Office of Information Technology (OIT) is seeking an AI Training and Enablement Specialist to help shape how an entire university learns, adopts, and innovates with artificial intelligence. This is a unique opportunity to work at the intersection of AI, education, technology, and innovation while helping faculty, staff, and students unlock the potential of rapidly evolving AI tools and platforms. In this role, you'll serve as an educator, consultant, and technologist who is equally comfortable leading a prompt engineering workshop, consulting on complex AI use cases, or helping deploy AI-powered solutions that support teaching, research, and administrative needs. You'll work directly with members of the Duke community to design learning experiences, develop AI-enabled applications, and guide projects from early experimentation to institutional adoption. As part of Duke's Innovation Co-Lab, you'll help advance a human-centered, responsible, and accessible AI ecosystem while supporting Duke's growing portfolio of AI initiatives, including DukeGPT, myGPTBuilder, AI Gateway, workshops, consultations, and cohort-based learning programs.

Requirements

• Bachelor's degree or an equivalent combination of education and relevant experience.
• Experience designing, building, deploying, or supporting AI solutions in real-world environments, including custom GPTs, agentic workflows, embeddings, plugins, or full-stack AI applications.
• Experience with full-stack web development frameworks such as Rails, Django, MERN, or similar platforms.
• Demonstrated knowledge of current and emerging AI technologies and platforms relevant to higher education, research, and organizational innovation.
• Strong interpersonal, presentation, written, and verbal communication skills.
• Ability to translate complex technical concepts into accessible learning experiences for both technical and non-technical audiences.
• Demonstrated ability to manage multiple projects and priorities while working independently and collaboratively in cross-functional environments.
• Ability to establish and maintain effective working relationships across a diverse academic community.
• Ability to deliver training in multiple formats, including in-person workshops, webinars, boot camps, self-paced courses, and consulting engagements.
• Commitment to fostering responsible, inclusive, ethical, and accessible AI practices across the university.
• Passion for artificial intelligence, innovation, higher education, and continuous learning.

Nice To Haves

• Two to four years of experience in education, learning sciences, information science, organizational development, instructional design, computer science, engineering, or a related field.
• Understanding of AI ethics, bias mitigation, governance, and responsible AI practices.
• Experience using Git and version control workflows.
• Experience with data engineering, retrieval systems, data connections, AI pipelines, and MCP server infrastructure.
• Experience working within containerized environments such as Docker, OKD, or similar platforms.
• Experience integrating applications with authentication and identity-management technologies, including SSO, SAML, and OAuth.
• Experience developing and maintaining APIs and microservices.
• Knowledge of AI security best practices, including data privacy, model security, and adversarial robustness.
• Experience designing and delivering cohort-based, multi-tiered, or workforce-focused learning programs.
• Experience building and sustaining communities of practice, learning cohorts, or ongoing professional development programs.

Responsibilities

• Design and deliver engaging AI training programs, workshops, webinars, cohort experiences, and self-paced learning resources that support learners at all skill levels.
• Develop and maintain technical curriculum focused on topics such as custom GPTs, AI agents, prompt engineering, AI-assisted coding, API integrations, agentic workflows, and emerging AI technologies.
• Provide consultation services that help faculty, staff, and students apply AI to real-world challenges while navigating complex technical, operational, and policy considerations.
• Support the Agentic Institutional Readiness (AIR) service by helping project teams transition promising AI prototypes into secure, sustainable, institutionally supported solutions.
• Build and support AI-powered applications, APIs, infrastructure, microservices, custom GPTs, and other technical solutions that serve the Duke community.
• Create and maintain documentation, guides, templates, best practices, and knowledge resources that help scale AI adoption across the institution.
• Collaborate with faculty, AI leaders, subject matter experts, the Center for Teaching and Learning, Learning & Organizational Development, and other institutional partners to coordinate programming and share expertise.
• Cultivate communities of practice that promote ongoing learning, collaboration, experimentation, and innovation with AI technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level