AI Solutions Architect - Computing Services

Responsibilities

• We also need you to think beyond individual projects. You'll help us build the foundation for scalable AI: reference architectures, reusable patterns, integration standards, and operational playbooks that make the next project easier than the last.
• And because none of this matters if it stays siloed, you'll share what you learn - through workshops, training sessions, and community events that help colleagues across campus adopt AI effectively.

Requirements

• Communication matters here. Can you explain technical trade-offs to a someone who's never written code? What about the business needs to someone who only lives in Python? Can you write documentation and articles that people will actually reference six months later? We need it all.
• You are at ease when facing ambiguity. We're building new capabilities, which means you'll often propose the path forward rather than follow one. That should excite you, not stress you out!
• A bachelor's degree or relevant experience is required. A master's degree or comparable experience is considered a plus.
• Why Carnegie Mellon?
• 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. Learn more at https://www.cmu.edu/jobs/benefits-at-a-glance.
• Come join an institution and inspire innovations that change the world!
• Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
• Joining the CMU team opens the door to an array of exceptional benefits.
• 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 .
• At Carnegie Mellon, we value the who

Benefits

Additional Information

Carnegie Mellon University has been shaping the field of artificial intelligence since the very beginning. Now we're asking a new question: how should a university that helped pioneer AI, optimally use it across our own education, research, and operations? We're figuring that out - and we want you to join us in Computing Services, the central IT group, in crafting the solution. This role sits at the center of that work. You'll help turn ideas into solutions to be built, run pilots that prove or disprove potential outcomes and help establish patterns to scale AI responsibly across a complex institution. We're not looking for someone who just draws diagrams. We need a partner who can move from strategy conversations with leadership to hands-on prototyping with our developers and getting solutions into the hands of our users. Sound like you?

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