Lead AI QA Engineer — Hybrid, Impact & Quality

Envestnet; Olympia (WA); Hybrid; USD 152,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

PTO

401k match

Paid parental leave

Education reimbursement

Disability coverage

Mental health support

Job summary

Envestnet is seeking an experienced QA engineer to join the AI-focused Quality Assurance Engineering team. You will lead testing efforts for moderately complex AI products, design advanced test plans, and develop automated testing frameworks to ensure model accuracy, security, and compliance.

You will collaborate with engineering, data science, product, cybersecurity, and risk teams to validate AI-enabled solutions, monitor model drift, and drive governance and quality improvements across data

Qualifications

• Experience validating AI/ML models and AI-enabled products.
• Ability to communicate complex concepts to diverse stakeholders.
• Experience coordinating cross-functional initiatives.
• Knowledge of QA governance and risk management.

Responsibilities

• Leads testing for AI products and platform enhancements.
• Designs test plans for model accuracy, bias, explainability, and resilience.
• Develops automated testing and monitoring approaches for AI systems.
• Analyzes defects, model drift, and production quality issues.
• Partners with stakeholders to define acceptance criteria and standards.

Skills

AI testing

Automated testing

Model evaluation

Testing frameworks

Regulatory & security awareness

Job description

Envestnet is seeking an experienced QA engineer to join the AI-focused Quality Assurance Engineering team. You will lead testing efforts for moderately complex AI products, design advanced test plans, and develop automated testing frameworks to ensure model accuracy, security, and compliance.

You will collaborate with engineering, data science, product, cybersecurity, and risk teams to validate AI-enabled solutions, monitor model drift, and drive governance and quality improvements across data