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Job Title: Principal, Quality Engineering – Artificial Intelligence (AI) Lead
Job Code: 45762
Job Location: Remote or Onsite at Huntsville, AL; Orange, VA; Camden, AR; Canoga Park, CA; Amityville, NY; Mason, OH; or Richardson, TX
Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off
Job Description:
L3Harris Missile Solutions is seeking a Leader for Artificial Intelligence (AI) and Machine Learning (ML) Quality to develop and execute the segment’s strategy for AI/ML governance, verification, and validation. Reporting to the Director of Quality Engineering, this role defines quality frameworks ensuring AI/ML models, computer vision systems, and automated inspection technologies meet mission-critical requirements. The position partners closely with Executive Leadership, Data Science, Software Engineering, Operations, and site Quality teams to support the safe deployment and lifecycle management of AI-enabled tools. The ideal candidate brings experience implementing quality processes for software-intensive or AI-driven systems and leading cross-functional technical initiatives.
Essential Functions:
• Develop and implement AI/ML quality strategies and validation frameworks to assess model and software behavior 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 (V&V) activities for AI/ML models, including adversarial testing, stress testing, and edge-case simulation.
• Adapt traditional quality and risk tools to intelligent systems, including FMEA development and mitigation planning for machine-learning-specific failure modes.
• Oversee quality frameworks for automated inspection systems, including validation of sensor calibration, metrology data ingestion, and synthetic data pipelines.
• Govern post-deployment quality practices such as regression testing, drift thresholds, and monitoring/retraining workflows.
• Align internal AI engineering practices with emerging standards (e.g., ISO/IEC 42001, NIST AI RMF).
• Ensure compliance with AS9100, internal quality systems, and customer-specific quality requirements.
• Ability to obtain and maintain a U.S. Security Clearance.
• Up to 30% travel may be required.
Qualifications
Qualifications:
Preferred Additional Skills:
• 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.:
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