AI Quality Engineer Lead - ML Governance & V&V

L3Harris Technologies; Camden (AR); Remote; USD 122,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Education assistance

Parental leave

Job summary

L3Harris Technologies is seeking a Principal, Quality Engineering – AI Lead to define quality frameworks for AI/ML models, CV systems, and automated inspection. You will collaborate with data science, software, operations, and leadership to ensure secure deployment and lifecycle management of AI-enabled tools.

The role requires experience in software-intensive or AI-driven systems, plus leadership of cross-functional technical initiatives and travel up to 30%. Remote or onsite at multiple U.S.

Qualifications

• Bachelor’s Degree in Engineering, Computer Science, Data Science, Statistics, or related 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.

Responsibilities

• 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.

Skills

AI governance

Quality engineering

Cross-functional leadership

Data governance

V&V for AI/ML

Regulatory compliance

Problem solving

Education

Bachelor’s Degree in Engineering, Computer Science, Data Science, Statistics, or related field

Tools

FMEA

Sensor calibration validation tools

Metrology data ingestion tools

Adversarial testing tools

Job description

L3Harris Technologies is seeking a Principal, Quality Engineering – AI Lead to define quality frameworks for AI/ML models, CV systems, and automated inspection. You will collaborate with data science, software, operations, and leadership to ensure secure deployment and lifecycle management of AI-enabled tools.

The role requires experience in software-intensive or AI-driven systems, plus leadership of cross-functional technical initiatives and travel up to 30%. Remote or onsite at multiple U.S.