Principal, Quality Engineering – AI Lead

🕒 October 8

🏈 Alabama, California, +4 more states – Remote

🏈 Alabama – Remote 🏄 California – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $121.5k - $225.5k / year

⏰ Full Time

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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L3Harris Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

L3Harris Technologies is a global aerospace and defense technology innovator, specializing in providing advanced solutions across air, land, sea, space, and cyber domains. The company focuses on delivering capabilities in areas such as autonomous systems, command and control, electronic warfare, and resilient communications, supporting both national security and commercial markets. Committed to innovation, L3Harris Technologies aims to advance technologies that enable their customers to effectively tackle the most complex challenges.

📋 Description

• Develop and implement AI/ML quality strategies and validation frameworks across Missile Solutions applications • Establish and maintain data governance practices, including data quality controls, labeling accuracy, drift monitoring, and bias prevention • Define measurable performance metrics and acceptance criteria for AI applied to mission-critical or defect-detection systems • Lead verification and validation activities for AI/ML models, including adversarial testing, stress testing, and edge-case simulation • Adapt traditional quality and risk tools, including FMEA development and mitigation planning, to intelligent systems • Oversee quality frameworks for automated inspection systems, including sensor calibration, metrology data ingestion, and synthetic data pipelines • Govern post-deployment quality practices, including regression testing, drift thresholds, and monitoring/retraining workflows • Align internal AI engineering practices with standards such as ISO/IEC 42001 and NIST AI RMF • Ensure compliance with AS9100, internal quality systems, and customer-specific quality requirements • Partner with Executive Leadership, Data Science, Software Engineering, Operations, and site Quality teams • Report to the Director of Quality Engineering • Support safe deployment and lifecycle management of AI-enabled tools

🎯 Requirements

• Bachelor’s Degree in Engineering, Computer Science, Data Science, Statistics, or related technical field with 12 years of prior relevant experience; OR Graduate Degree with 10 years of prior related experience; OR in lieu of a degree, 16 years of related experience • Minimum 3 years of experience leading technical projects, cross-functional initiatives, or engineering teams • Minimum 1 year of experience in verification, validation, testing, or quality management of software-intensive systems, AI/ML models, or analytics pipelines • Ability to obtain and maintain a U.S. Security Clearance • Up to 30% travel may be required • Experience in manufacturing or quality in defense, aerospace, automotive, or similar industries • Ability to work independently and adapt to changing priorities • ASQ CSQE or CQE certification • Training or certification in AI governance or trustworthy AI frameworks • Experience with data validation frameworks for drift and anomaly detection • Familiarity with quality flow-down requirements for prime defense contractors • Understanding of APQP, manufacturing risk management, Six Sigma, and LEAN principles • Proficiency in Microsoft Word, Excel, PowerPoint, and Project

🏖️ Benefits

• Health and disability insurance • 401(k) match • Flexible spending accounts • EAP • Education assistance • Parental leave • Paid time off • Company-paid holidays • 9/80 schedule with every other Friday off

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