Lead AI QA Engineer – Model Validation & Governance

Envestnet; Springfield (IL); Hybrid; USD 152,000 - 190,000; Full time

Job summary

Envestnet is seeking a senior QA Engineer focused on AI-based products. You will ensure accuracy, reliability, and security of AI solutions while aligning with governance and risk requirements.

The role collaborates with engineering, data science, product, and cybersecurity teams to validate AI-enabled platforms and processes. You will design and implement testing strategies, improve automation, and champion quality across AI models, data pipelines, and third‑party tools.

Qualifications

• Ability to evaluate complex problems, identify root causes, and implement scalable data-driven solutions.
• Ability to establish productive relationships across business, technology, product, engineering, data science, and risk groups.
• Knowledge of governance practices, operational workflows, and quality optimization.

Responsibilities

• Leads testing efforts for moderately complex AI products, features and platform enhancements.
• Designs advanced test plans covering model accuracy, bias detection, explainability and resilience.
• Develops automated testing frameworks and monitoring approaches for AI systems.
• Performs detailed analysis of defects, model drift and production quality issues.
• Mentors junior analysts and reviews testing deliverables for quality and consistency.
• Supports enterprise AI governance and risk management controls.
• Identifies risks and recommends mitigation strategies.
• Leads validation activities for AI models, data pipelines, and third-party tools.

Skills

AI QA testing

AI/ML validation

Cross-functional collaboration

Problem solving

Communication

Automated testing

Job description

Envestnet is seeking a senior QA Engineer focused on AI-based products. You will ensure accuracy, reliability, and security of AI solutions while aligning with governance and risk requirements.

The role collaborates with engineering, data science, product, and cybersecurity teams to validate AI-enabled platforms and processes. You will design and implement testing strategies, improve automation, and champion quality across AI models, data pipelines, and third‑party tools.