AI Solutions Architect - Computing Services

Carnegie Mellon University

Actively hiring
Pittsburgh, PA Posted 87 days ago

At a glance

AI generated

TL;DR

As a Senior AI Solutions Architect at Carnegie Mellon University's Computing Services, you will play a pivotal role in shaping the university’s use of artificial intelligence across education, research, and operations. Your responsibilities include defining AI strategy with senior leadership, designing solution architectures, and deploying proofs-of-concept to validate feasibility. You’ll bridge gaps between business needs and technical requirements, ensuring solutions are scalable and ethically sound by working closely with security and compliance teams. Ideal candidates have 5-8 years of experience in AI/ML solution design, technical consulting, or architecture roles, with a strong track record of moving projects from concept to production. Proficiency in cloud platforms and the ability to communicate complex ideas clearly are crucial, as is comfort with ambiguity and a commitment to ethical standards. This role offers an unparalleled opportunity to contribute to groundbreaking initiatives at a pioneering institution.

Skills

Python TensorFlow Kubernetes AWS Azure CI/CD MLOps Docker Prometheus PostgreSQL Git Scikit-learn Pandas Jupyter Notebook RESTful APIs Swagger JSON YAML Nginx OAuth2

What you'll do

  • Define AI strategy with senior leadership and create practical technical roadmaps.
  • Design solution architectures for new AI projects, from concept to proof-of-concept.
  • Collaborate with security teams to ensure ethical use and compliance in AI solutions.
  • Develop scalable reference architectures and operational playbooks for future AI projects.
  • Translate business needs into technical requirements and partner with development teams.

What we're looking for

  • 5-8 years experience in AI/ML solution design and technical consulting.
  • Proven ability to take AI projects from concept through production deployment.
  • Strong communication skills for diverse audiences, including non-technical stakeholders.
  • Comfortable with cloud platforms and hybrid on-premise/cloud solutions.
  • Experience in identifying and mitigating bias and ethical issues in AI systems.
  • Ability to develop scalable reference architectures and operational playbooks.
  • Bachelor's degree or equivalent experience required; master’s preferred.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $170,000–$241,500.

Peer median band

$170,000$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000$245,625

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

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 36 open roles on FindRole.

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