AI-Native Architect: Modernize at Scale with AI

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 140,000 - 190,000; Full time

Job summary

Carnegie Mellon University’s SEI seeks an AI-Native Architect to help organizations solve architecture-scale challenges with AI. You will modernize legacy systems, rearchitect for new tech, and design reference architectures across domains.

You’ll shape agentic workflows and coach teams in aligning development with architectures. The role requires leading engineering efforts, applying AI to software engineering tasks, and communicating complex ideas to diverse stakeholders.

Qualifications

• Bachelor's degree with eight (8) years of experience; OR MS with five (5) years; OR PhD with two (2) years.
• Active background investigation and ability to obtain DoD security clearance.
• Willing to travel up to 25% of the time to off-site locations.
• Travel sites include SEI offices in Washington, D.C., sponsor sites, and conferences.

Responsibilities

• Assess customer system challenges and recommend technical solutions.
• Review existing systems and design modernization strategies.
• Create novel architectures and reference architectures for diverse domains.
• Coach engineering teams to achieve architecture-scale changes.
• Architect and prototype systems and agentic workflows.
• Identify opportunities to apply AI to architecture challenges.
• Share experiences and best practices with the technical community.

Skills

Software architecture

AI in software eng

Architectural modernization

Leadership experience

Communication skills

Mentoring

Team collaboration

Education

Bachelor's degree in CS/SE

MS in CS/SE

PhD (relevant)

Job description

Carnegie Mellon University’s SEI seeks an AI-Native Architect to help organizations solve architecture-scale challenges with AI. You will modernize legacy systems, rearchitect for new tech, and design reference architectures across domains.

You’ll shape agentic workflows and coach teams in aligning development with architectures. The role requires leading engineering efforts, applying AI to software engineering tasks, and communicating complex ideas to diverse stakeholders.