Principal, Quality Engineering – AI Lead

L3Harris Technologies

. Develop and implement AI/ML quality strategies and validation frameworks across Missile Solutions applications .

Posted 10/8/2026full-timeRemote • United StatesSenior💰 $121,500 - $225,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI/ML quality strategies, validation frameworks, and data governance practices. Proficient in leading verification and validation activities for AI models while ensuring compliance with industry standards and quality requirements.

Highest-signal resume keywords

AI/ML Quality StrategiesVerification And ValidationData Governance PracticesASQ CSQE Or CQE CertificationExperience In Manufacturing Or Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Validation FrameworksPerformance Metrics DefinitionAdversarial TestingFMEA DevelopmentRegression TestingDrift MonitoringBias PreventionSensor CalibrationMetrology Data IngestionSynthetic Data Pipelines

Soft Skills

LeadershipAdaptabilityCollaboration

Tools & Technologies

Microsoft WordMicrosoft ExcelMicrosoft PowerPointMicrosoft Project

Certifications & Qualifications

ASQ CSQECQEAI Governance Certification

Industry Keywords

DefenseAerospaceAutomotiveQuality ManagementLean PrinciplesSix SigmaAPQPISO/IEC 42001NIST AI RMFQuality Flow-Down Requirements

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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