Principal Quality Engineer, AI Catalyst Platform Team - AI Engineering

Job Summary

We’re looking for a Principal Quality Engineer to join our AI Catalyst Platform team. This role focuses on providing technical and operational support to the AI Catalyst team, which explores upstream AI initiatives and drives innovation across the organization.

You’ll help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.

This role combines technical depth with systems thinking. You’ll lead quality strategy and hands-on validation for AI-powered products, working closely with engineering, product, and AI research to ensure that what we ship is both breakthrough and bulletproof.

What You’ll Do

• Champion DevOps, CI/CD, and security practices to streamline the deployment of prototypes and AI features, enabling rapid iteration and testing.
• Translate fast-moving prototypes into testable, reliable features using AI-enhanced validation tools and frameworks
• Mentor senior QA and automation engineers, shaping a high-ownership, high-velocity quality culture within the productization team
• Partner with engineers and AI scientists to define test hooks, observability layers, and validation paths during development—not just after
• Create feedback loops that turn AI-driven insights (logs, usage data, heuristic signals) into continuous quality improvements
  
  

What You’ll Bring

• 10+ years of experience in software or quality engineering, with deep expertise in building and maintaining production-grade test systems
• Familiarity with modern infrastructure and deployment stacks (e.g., Kubernetes, CI/CD, cloud services)
• Experience designing and running end-to-end test suites that mirror real-world customer behaviors and workflows
• Exceptional collaboration and communication skills—able to align product, engineering, and research around pragmatic quality tradeoffs
• Passion for AI product reliability and ensuring breakthrough features don’t break the user experience
• Employ AI-driven testing frameworks to automate test case generation, optimize test execution, identify potential edge cases, and enhance overall test coverage and reliability
• Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices; share use cases for successful experiments with stakeholders for broader use.
  
  

Nice to have

• Experience with AI-enhanced QA tools (e.g., GPT-based test generation, anomaly detection, log synthesis)
• Background in usability engineering or customer workflow validation
• Contributions to internal observability tooling, feedback ingestion systems, or AI regression monitoring frameworks
• Exposure to AI research-to-productization pipelines, including real-time and batch model integrations
  
  

Why join us?

This is a rare opportunity to define how quality engineering scales in the AI era—where speed, reliability, and usability must go hand-in-hand. You’ll work at the cutting edge of product and model integration, building the systems that make bold AI breakthroughs safe, stable, and impactful for millions. If you're driven by fast execution and long-term quality, we want to talk.

#AIHiring

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

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Equal Opportunity Policy (EEO)

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