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Manager Ai Quality Assurance Jobs (NOW HIRING)

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Berwyn, PA · Hybrid

$123K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Berwyn, PA · Hybrid

$123K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Boston, MA · Hybrid

$140K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Boston, MA · Hybrid

$140K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Berwyn, PA · Hybrid

$123K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Olympia, WA · Hybrid

$138K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Boston, MA · Hybrid

$140K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Lead AI Quality Assurance Engineer

Olympia, WA · Hybrid

$138K/yr

Combines traditional QA practices with AI / ML validation techniques to test data integrity, model ... Works with engineering, data science, product management, cybersecurity, legal and risk teams to ...

Showing results 21-40

Manager Ai Quality Assurance information

See salary details

$38K

$118.1K

$179K

How much do manager ai quality assurance jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager ai quality assurance in the United States is $118,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $144,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Quality Assurance vs AI Quality Assurance Specialist?

AspectManager Ai Quality AssuranceAI Quality Assurance Specialist
CredentialsBachelor's or higher in Computer Science, QA, or related field; often leadership experienceTypically requires a Bachelor's in Computer Science, QA, or related field; certifications like ISTQB may be preferred
Work EnvironmentOversees teams, manages projects, collaborates with multiple departmentsFocuses on testing AI models, analyzing data, executing test plans
Industry UsageUsed across tech, finance, healthcare industries for overseeing AI quality processesCommonly employed in AI development teams, research labs, and tech companies

The Manager Ai Quality Assurance role involves overseeing QA teams and managing AI quality projects, while the AI Quality Assurance Specialist focuses on executing testing and analyzing AI models. Both roles require technical knowledge, but the manager has additional leadership responsibilities.

More about Manager Ai Quality Assurance jobs

What cities are hiring for Manager Ai Quality Assurance jobs?

Cities with the most Manager Ai Quality Assurance job openings:

What states have the most Manager Ai Quality Assurance jobs?

States with the most job openings for Manager Ai Quality Assurance jobs include:

Infographic showing various Manager Ai Quality Assurance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $118,074 per year, or $56.8 per hour.

Lead AI Quality Assurance Engineer

Envestnet

Springfield, IL • Hybrid

$127K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Key responsibilities

  • Leads testing efforts for AI products, features, and platform enhancements.

  • Designs and develops automated testing frameworks and monitoring approaches for AI systems.

  • Performs analysis of defects, model drift, and production quality issues related to AI solutions.


Job description

The application window will close Month 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 adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed byover 25 years of experience and approximately $7.0 trillion in 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 Investment in 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 careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary toassistyou with the recruiting process.       

 

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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