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Defining the technical vision and engineering standards for quality, the full-time Principal Quality Engineer will architect scalable automation platforms and govern AI-specific quality controls while working in a hybrid environment based in Elmwood Park, NJ.
Key responsibilities: Own the enterprise quality engineering and AI assurance architecture, including principles, target-state capabilities, and measurable adoption standards Architect modular automation platforms for various testing types, including UI, API, and performance validation Establish AI evaluation frameworks addressing task correctness, robustness, bias, and explainability across machine learning and generative AI systems
Required qualifications: Bachelor's or master's degree in computer science, engineering, data science, AI, or a related discipline, or equivalent experience Typically 12+ years in software engineering or quality engineering, with recent leadership in AI or ML quality Expert-level coding and framework design skills in Python, Java, TypeScript, C#, or comparable languages Deep knowledge of test architecture, reliability engineering, and risk-based release governance Hands-on understanding of ML and generative-AI evaluation and responsible-AI risks

Also on the board Same function, level within a rung

Level

Lead

Location

Denver, CO

Occupation

Quality Control Systems Managers

Industry

Perishable Prepared Food Manufacturing

Posted

3 days ago

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