AI Training and Enablement Specialist

AI Training and Enablement Specialist

Be You.

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.

*This is a two-year term position. 

Minimum Requirements

• Bachelor's degree or an equivalent combination of education and relevant experience.
• Ability to translate complex technical concepts into accessible learning experiences for both technical and non-technical audiences.
• 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.
• 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.

Preferred Qualifications

• 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.

Other Requirements

• 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.

Work Arrangement

Hybrid eligible. Regular on-campus presence is required to support training delivery, workshops, consultations, departmental engagements, and partner meetings.

Be Bold.

What You'll Do

• 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.

Choose Duke.

The Innovation Co-Lab serves as Duke University's hub for innovation, experimentation, and emerging technology exploration. As part of Duke OIT, the Co-Lab empowers faculty, staff, students, and researchers to discover new possibilities through technology while advancing the university's mission of education, research, healthcare, and service.

Duke is investing in a comprehensive AI ecosystem that includes enterprise AI platforms, custom-developed tools, consultation services, professional development programs, and a growing network of AI practitioners across the institution. In this role, you'll help shape the future of AI adoption at a world-renowned university while supporting responsible innovation, interdisciplinary collaboration, and meaningful impact.

You'll join a collaborative team committed to curiosity, lifelong learning, inclusion, and excellence while helping members of the Duke community transform ideas into solutions that support teaching, research, operations, and discovery.