Lead AI Quality Assurance Engineer

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

Description

The application window will closeMonth Day, Year

Job Location

The primary work location for this role is Berwyn, Raleigh, Boston, Chicago, or Seattle with a hybrid work model.

About Envestnet

Envestnet is an adaptiveWealthTechcompany that isredefining the future of wealth management byhelpingadvisors meet the moment with its comprehensive technology, actionable insights, and industry leading support.Backed byover25 years of experience and approximately$7.0 trillionin platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.

For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.

The Team You’ll Join

The Quality Assurance Engineering team plays a critical role in ensuring the reliability, security, and effectiveness of Envestnet’s technology solutions, with a growing focus on AI-enabled products and platforms. Working at the intersection of engineering, data science, product, cybersecurity, and business operations, the team develops and executes innovative testing and validation strategies that help deliver trusted experiences for clients and internal stakeholders alike. By championing quality, governance, automation, and continuous improvement, the team helps accelerate the adoption of emerging technologies while ensuring solutions are scalable, compliant, and built to meet the highest standards of performance and customer confidence.

How You'll Contribute

Ensures that artificial intelligence solutions are accurate, reliable, secure, compliant and aligned with business and client expectations. Combines traditional QA practices with AI / ML validation techniques to test data integrity, model performance, automation workflows and user outcomes. Works with engineering, data science, product management, cybersecurity, legal and risk teams to validate AI-enabled products and operational processes. Continuously improves testing frameworks, monitoring methodologies, governance standards and automation capabilities to support scalable and trustworthy AI adoption.

• 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.
• Supports implementation of enterprise AI governance and risk management controls.
• Recommends improvements to testing methodologies, tooling and operational processes.
• Facilitates quality reviews, stakeholder workshops, model validation discussions, and testing strategy sessions.
• Identifies operational, technical, compliance, and model-related risks and recommends mitigation strategies.
• Leads validation activities for AI models, data pipelines, automation workflows, user-facing AI capabilities, vendors, tools, and third-party technologies.
• Evaluates quality, reliability, security, governance, and compliance considerations associated with AI products and services.

What You’ll Need to Bring

• Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences.
• Ability to evaluate complex problems, identify root causes, assess alternatives, and implement practical, scalable, data-driven solutions.
• Demonstrated ability to establish and maintain productive relationships across business, technology, product, engineering, data science, and risk organizations.
• Knowledge of process improvement techniques, operational workflows, dependency management, quality optimization, and governance practices.
• Ability to communicate technical and non-technical concepts clearly to diverse audiences, including leadership stakeholders.
• Experience coordinating cross-functional initiatives, managing dependencies, tracking progress, and delivering measurable outcomes.
• Strong understanding of AI concepts, machine learning fundamentals, AI system capabilities, limitations, risks, and practical applications, with experience validating AI/ML models, Generative AI applications, LLM-enabled systems, or data science solutions.
• Experience with automated testing frameworks, API testing, model evaluation, prompt testing, hallucination testing, data quality validation, AI governance controls, and regulatory, security, privacy, or responsible AI requirements.

Why You’ll Enjoy Working at Envestnet

Help shape the future of WealthTech. At Envestnet you’ll gain hands‑on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference.

We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.

The opportunity is now!

Sponsorship

This position is not open to candidates requiring visa sponsorship

Our Investmentin You

This role offers a base salary range of $152,300 to $190,400. The range listed represents a good‑faith estimate of base salary compensation for this position and does not include incentive compensation, equity or benefits. Individual pay will be determined based on factors including, but not limited to, relevant experience, skills, education, certifications, and geographic location, in accordance with applicable pay transparency laws. This role is eligible for an additional incentive component as part of the total rewards package.

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us. Please visit our benefits page on our career site to learn more.

Our Commitment to Inclusion & Belonging

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at [e-mail]. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.