AI Solutions Architect

Carnegie Mellon University

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Pittsburgh, PA
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

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Similar $195k
$129k $247k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $155,000–$235,750.

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About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

Carnegie Mellon University currently has 71 open roles on FindRole.

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At a glance

TL;DR · AI Solutions Architect

The AI Solutions Architect - Computing Services joins the central IT group to help the university optimally utilize artificial intelligence across education, research, and operations. This role involves defining AI strategy with senior leadership, designing solution architectures, and building or deploying proofs-of-concept systems to validate feasibility. You will translate business needs into technical requirements, partner with security and compliance teams to ensure ethical standards and data protection, and create reusable patterns and operational playbooks for scalable deployment. The position requires 5–8 years of experience in AI/ML solution design or technical consulting. You must be proficient with cloud platforms and on-premise environments, possess strong communication skills to explain technical trade-offs, and demonstrate the ability to navigate ambiguity while moving projects from initial ideas to production.

What you'll do

  • Define AI strategy by connecting institutional goals to practical technical roadmaps.
  • Design solution architectures and deploy proofs-of-concept systems to validate feasibility.
  • Translate business needs into technical requirements for cross-functional teams.
  • Partner with security and compliance teams to ensure ethical AI use and data protection.
  • Create reference architectures, reusable patterns, and operational playbooks for scalable AI.
  • Lead workshops and training sessions to help campus colleagues adopt AI effectively.
  • Build and deploy working AI systems rather than just providing strategy decks.

What we're looking for

  • 5–8 years of experience in AI/ML solution design, technical consulting, or architecture-focused roles.
  • Experience taking AI projects from the idea stage through pilot to production systems.
  • Ability to design solutions that span on-premise and cloud environments.
  • Ability to translate business needs into technical requirements and explain trade-offs to non-technical stakeholders.
  • Ability to write technical documentation and articles for long-term reference.
  • A bachelor's degree or relevant experience.
  • A master's degree or comparable experience (preferred).

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