AI Quality Leader — ML Governance & Validation (Remote)

L3Harris Technologies, Inc.; Huntsville (AL); Remote; USD 140,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Flexible benefits

Job summary

L3Harris Missile Solutions seeks a Principal for Quality Engineering in AI to lead AI/ML governance, verification, and validation. This role partners with Data Science, Software, and Operations to ensure quality across AI-enabled tools used in defense systems.

The ideal leader has substantial experience in software-intensive AI quality, cross-functional initiatives, and understands standards like ISO/IEC 42001 and NIST RMF, with possibility of up to 30% travel.

Qualifications

• Bachelor's or graduate degree with extensive AI/ML quality experience.
• Minimum 3 years leading technical projects or teams.
• Minimum 1 year of verification, validation, testing, or quality management of software-intensive AI systems.

Responsibilities

• Develop and implement AI/ML quality strategies and validation frameworks.
• Establish data governance, labeling accuracy, drift monitoring, and bias prevention.
• Define measurable performance metrics and acceptance criteria for mission-critical AI.
• Lead verification and validation activities for AI/ML models, including adversarial testing.
• Oversee quality frameworks for automated inspection systems, including sensor calibration and data pipelines.

Skills

AI/ML quality

Cross-functional leadership

Data governance

Metrics & acceptance criteria

Adversarial testing

ISO 42001 / standards

NIST RMF

Security clearance

Education

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

Graduate Degree with 10 years of related experience

In lieu of a degree, 16 years of related experience

Tools

Microsoft Word

Excel

PowerPoint

Project

Job description

L3Harris Missile Solutions seeks a Principal for Quality Engineering in AI to lead AI/ML governance, verification, and validation. This role partners with Data Science, Software, and Operations to ensure quality across AI-enabled tools used in defense systems.

The ideal leader has substantial experience in software-intensive AI quality, cross-functional initiatives, and understands standards like ISO/IEC 42001 and NIST RMF, with possibility of up to 30% travel.