Principal, Quality Engineering – AI Lead

This is a fully remote position, open to applicants in Alabama, +5 more states.

📋 Description

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

• Establish and uphold data governance practices, which encompass data quality controls, labeling accuracy, drift monitoring, and bias prevention.

• Define quantifiable performance metrics and acceptance criteria for AI utilized in mission-critical systems or defect-detection applications.

• Lead verification and validation efforts for AI/ML models, including adversarial testing, stress testing, and edge-case simulations.

• Adapt conventional quality and risk management tools, such as FMEA development and mitigation planning, to intelligent systems.

• Oversee quality frameworks for automated inspection systems, which include 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 recognized standards like ISO/IEC 42001 and NIST AI RMF.

• Ensure adherence to AS9100, internal quality systems, and customer-specific quality requirements.

• Collaborate with Executive Leadership, Data Science, Software Engineering, Operations, and site Quality teams.

• Report to the Director of Quality Engineering.

• Support the safe deployment and lifecycle management of AI-enabled tools.

⛳️ Requirements

• Bachelor's Degree in Engineering, Computer Science, Data Science, Statistics, or a related technical field with 12 years of relevant experience; OR a Graduate Degree with 10 years of related experience; OR 16 years of related experience in lieu of a degree.

• At least 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 necessary.

• Experience in manufacturing or quality within the defense, aerospace, automotive, or similar sectors.

• Capability to work independently and adjust to shifting priorities.

• ASQ CSQE or CQE certification.

• Training or certification in AI governance or trustworthy AI frameworks.

• Familiarity with data validation frameworks for drift and anomaly detection.

• Understanding of quality flow-down requirements for prime defense contractors.

• Knowledge of APQP, manufacturing risk management, Six Sigma, and LEAN principles.

• Proficiency in Microsoft Word, Excel, PowerPoint, and Project.

🏝️ Benefits

• Health and disability insurance.

• 401(k) match.

• Flexible spending accounts.

• Employee Assistance Program (EAP).

• Education assistance.

• Parental leave.

• Paid time off.

• Company-paid holidays.

• 9/80 schedule with every other Friday off.