Jobs · OTHR · Pennsylvania

AI Enablement Associate - Computing Services

Carnegie Mellon University · Pittsburgh, PA · 6 days ago
OTHRFull-time

Carnegie Mellon University has been leading the field of artificial intelligence since the very beginning. This role helps faculty, staff, and campus partners effectively use university-supported AI tools through hands-on support, documentation, training, and program coordination.

About the role

As an AI Enablement Associate, you will translate customer ideas into value-creating initiatives by facilitating and eliciting problems, ideas, and requirements. You will work with service owners to identify, qualify, and improve service gaps for university partners, solving problems through innovative thinking across people, process, and technology. You will help establish a common understanding of the departmental/university environment and business objectives to define, design, and deploy solutions. This role offers an opportunity to build expertise in AI enablement, user support, training, and program delivery while developing skills for advanced AI consulting roles.

Responsibilities

  • User support: Respond to support requests, clarify user needs, resolve issues within the team's scope, document recurring support trends, and coordinate escalation for 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. Assist with initiatives such as the GenAI Accelerator Program, AI Center of Excellence sessions, Community of Practice meetings, and 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 enhance the user experience and expand AI effectiveness across the university.

Requirements

We seek an early-career professional with experience in technical support, business analysis, educational technology, program coordination, training, communications, or a related field. You should be curious, eager to learn, and committed to helping others use AI tools effectively and responsibly. Strong communication skills are essential for translating technical concepts to non-technical audiences, and you should enjoy creating user-friendly documentation and training materials.

Qualifications

  • Experience in higher education, enterprise technology, or large, decentralized organizations is preferred.
  • 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.

Skills

  • Organized, dependable, and comfortable balancing multiple priorities.
  • Able to identify patterns in user feedback and document opportunities for improvement.
  • Comfortable learning new AI platforms and translating technical information into practical guidance for end users.
  • Strong integrity and ability to connect effectively with diverse internal and external partners.

Benefits

  • Comprehensive medical, prescription, dental, and vision insurance.
  • Generous retirement savings program with employer contributions.
  • Tuition remission for employees and dependents.
  • Ample paid time off and observed holidays.
  • Life and accidental death and disability insurance.
  • Free Pittsburgh Regional Transit bus pass.
  • Access to a Family Concierge Team for childcare navigation.
  • Fitness center access and additional wellness perks.

Pay

Salary-based compensation.

Schedule

Full time, regular staff position.

Location: Pittsburgh, PA

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