AI Enablement Associate - Computing Services

Carnegie-Mellon-University; Pittsburgh (Allegheny County); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Tuition remission for employees and_de

Free Pittsburgh Regional Transit bus p

Fitness center access

Retirement options

Job summary

Carnegie Mellon University’s Computing Services seeks an AI Enablement Associate to help faculty, staff, and campus partners effectively use university-supported AI tools. You will provide hands-on support, develop documentation, coordinate training, and help scale AI enablement across the university.

You'll work with AI Enablement Consultants and senior colleagues to respond to inquiries, create user-friendly guides, and support workshops and events.

Qualifications

• Bachelor's degree in IS/Analytics/Comms/EdTech or related field preferred.
• Experience in higher education or large decentralized organizations preferred.
• Ability to translate technical concepts for non-technical audiences.
• Excellent documentation, training materials, and communications skills.

Responsibilities

• Respond to support requests, clarify user needs, resolve issues, document trends, and escalate complex requests.
• Support workshops, webinars, onboarding sessions, and other programs; coordinate materials, logistics, notes, and follow-ups.
• Create and maintain user-facing resources: how-to guides, FAQs, knowledge base, training materials, and use-case libraries.
• Identify common support trends, suggest improvements to docs and training, scale processes across the university.

Skills

Technical support

Business analysis

Educational technology

Program coordination

Training

Communications

Education

Bachelor's degree in Information Systems, Business Analytics, Communications, Educational Technology, Instructional Design, or a related field

Job description

Translate customer ideas into value creating initiatives via facilitation and elicitation of problems, ideas and requirements. Work with service owners to identify, qualify and improve service gaps for university partners. Solves problems through innovative out of the box thinking through examination of people, process and technology. Establishes a common understanding of the departmental/university environment and business objectives in which a project (or solution) must be defined, designed, created, deployed, used and supported. Requires an understanding of business processes, systems, organizational structure, and departmental/university business operations. Contributes as part of a team with senior staff to define and scope solutions into actionable implementation projects.

Carnegie Mellon University has been leading the field of artificial intelligence since the very beginning. But having world‑class AI research does not automatically mean everyone knows how to use these tools confidently, safely, or effectively in their daily work. That is where you come in. Computing Services, the central IT department, is seeking an AI Enablement Associate to help faculty, staff, and campus partners effectively use university‑supported AI tools. Working alongside AI Enablement Consultants and senior colleagues, you will provide hands‑on support by responding to user inquiries, developing and maintaining documentation, coordinating training, supporting workshops and events, and helping scale AI enablement across the university. This role offers an excellent opportunity to build expertise in AI enablement, user support, training, and program delivery while developing the skills needed to grow into more advanced AI consulting and enablement roles. Are you excited by emerging technology, passionate about helping others learn and interested in building a career at the intersection of AI, user support, training, and service delivery?

What You’ll Do

• User support: Respond to support requests, clarify user needs, resolve issues within the team's scope, document recurring support trends, and coordinate appropriate escalation for more complex requests.
• Training and program coordination: Support workshops, webinars, office hours, onboarding sessions, and other programs by preparing materials, coordinating logistics, communicating with participants, capturing notes, and tracking follow‑up activities. You may also assist with initiatives such as the GenAI Accelerator Program, AI Center of Excellence sessions, Community of Practice meetings, and other campus events.
• Knowledge resources: Create and maintain user‑facing resources, including how-to guides, FAQs, knowledge base articles, training materials, sample prompts, and use‑case libraries. Translate product updates, new capabilities, and team guidance into clear, accessible documentation.
• Continuous improvement: Identify common support trends, recommend improvements to documentation and training materials, and contribute to scalable processes that improve the user experience and expand AI effectiveness across the university.

What You’ll Bring

We are seeking an early‑career professional with experience in technical support, business analysis, educational technology, program coordination, training, communications, or a related field. You do not need to be an AI expert on day one, but you should be curious, eager to learn, and committed to helping others use AI tools effectively and responsibly. You communicate technical concepts clearly to non‑technical audiences and enjoy creating user‑friendly documentation, training materials, and communications. You are organized, dependable, and comfortable balancing multiple priorities. You identify patterns in user feedback, document opportunities for improvement, know when to seek additional guidance, and are comfortable learning new AI platforms and translating technical information into practical guidance for end users. Experience in higher education, enterprise technology, or other large, decentralized organizations is preferred, as is experience developing user‑facing documentation, knowledge base content, training materials, or communications. A bachelor's degree in Information Systems, Business Analytics, Communications, Educational Technology, Instructional Design, or a related field—or an equivalent combination of education and experience—is preferred.

Why Carnegie Mellon?

We are dedicated to fostering an inclusive and diverse environment. We encourage candidates from all backgrounds to apply. We support equal opportunity and value diversity within our staff. As an equal opportunity employer, we provide reasonable accommodations for the application process, job duties, and employment benefits. Please contact us to request accommodation. We highly value inclusion, cooperation, and cultural awareness. Thus, we seek a colleague who can connect effectively with a diverse range of internal and external partners with strong integrity. Our benefits philosophy emphasizes Choice, Control, and Well‑being. We have excellent retirement and healthcare options, as well as tuition remission for employees and dependents.

Benefits

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well‑deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page.

Other Information

Location Pittsburgh, PA

Job Function Business Analysis and Process Improvement

Position Type Staff – Regular Full Time/Part time Full time

Pay Basis Salary

We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [e-mail] or by phone at 412‑268‑5072.