Remote AI Quality Engineering Lead

L3Harris Technologies, Inc.; Camden (AR); Hybrid; USD 120,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Education assistance

Job summary

L3Harris Missile Solutions seeks a Principal, Quality Engineering – AI Lead to shape the AI/ML quality program across defense applications. You will guide governance, validation, and verification efforts for AI-enabled tools in collaboration with Data Science, Software, and Quality teams.

The role emphasizes leading cross-functional initiatives, adopting standards, and enabling safe deployment and lifecycle management of AI systems used in mission-critical contexts.

Qualifications

• Experience implementing quality processes for software-intensive or AI-driven systems.
• Proven ability to lead cross-functional technical initiatives.
• Knowledge of AI governance and trustworthy AI frameworks.

Responsibilities

• Develop and execute AI/ML quality strategies and validation frameworks.
• Lead data governance, including drift monitoring and bias prevention.
• Define performance metrics and acceptance criteria for AI in mission-critical systems.
• Drive V&V activities for AI/ML models, including adversarial testing and edge-case simulation.
• Adapt quality tools for intelligent systems and manage post-deployment quality practices.
• Align AI engineering with ISO/NIST standards and AS9100 requirements.

Skills

AI governance

Cross-functional leadership

Quality systems

Data governance

Model validation

V&V for AI/ML

Adversarial testing

Regression testing

Education

Bachelor’s Degree in Engineering/CS/Data Science

Graduate Degree preferred

Tools

ISO/IEC 42001

NIST AI RMF

AS9100

Job description

L3Harris Missile Solutions seeks a Principal, Quality Engineering – AI Lead to shape the AI/ML quality program across defense applications. You will guide governance, validation, and verification efforts for AI-enabled tools in collaboration with Data Science, Software, and Quality teams.

The role emphasizes leading cross-functional initiatives, adopting standards, and enabling safe deployment and lifecycle management of AI systems used in mission-critical contexts.