Senior AI QA Engineer, Validation & Governance

Envestnet; Raleigh (NC); Hybrid; USD 152,000 - 190,000; Full time

Job summary

Envestnet is seeking a Quality Assurance Engineer to join the AI/ML-focused QA team in a hybrid environment, supporting AI-enabled products and data pipelines. You will validate model performance, detect bias, and ensure regulatory compliance while collaborating with engineering, product, cybersecurity, legal, and risk teams.

The role emphasizes governance, automation, and scalable testing strategies to deliver trusted AI solutions for clients and internal stakeholders alike.

Qualifications

• Experience evaluating complex AI/ML products and data pipelines.

Responsibilities

• Leads testing efforts for moderately complex AI products, features and platform enhancements.
• Designs advanced test plans covering model accuracy, bias detection, explainability and operational resilience.
• Develops automated testing frameworks and monitoring approaches for AI systems.
• Performs detailed analysis of defects, model drift and production quality issues.
• Partners with cross-functional stakeholders to define acceptance criteria and quality standards.
• Mentors junior analysts and reviews testing deliverables for quality and consistency.

Skills

Cross-functional collaboration

AI/ML validation

Data-driven decision making

Communication skills

Problem solving

Regulatory compliance understanding

Stakeholder management

Tools

Automated testing frameworks

API testing

Model evaluation

Prompt testing

Data quality validation

AI governance controls

Job description

Envestnet is seeking a Quality Assurance Engineer to join the AI/ML-focused QA team in a hybrid environment, supporting AI-enabled products and data pipelines. You will validate model performance, detect bias, and ensure regulatory compliance while collaborating with engineering, product, cybersecurity, legal, and risk teams.

The role emphasizes governance, automation, and scalable testing strategies to deliver trusted AI solutions for clients and internal stakeholders alike.