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Manager Ai Qa Jobs (NOW HIRING)

Rishabh Software Pvt. Ltd

AI Quality Engineer

Manhattan, NY

$79.40K - $102.50K/yr

AI Quality Engineer #1 Duration: 6-9 Months Location: NYC. NY Tasks & Duties: * AI Agent Test ... QA automation processes with our Master Control Program (MCP) for centralized management and ...

Cogeco

Specialist, QA Test Automation

Columbus, OH · On-site

Specialist, QA Test Automation POSITION SUMMARY We aren't looking for an all-knowing AI guru to ... Here, you will manage, influence, play, create, fix, and shape the industry. For candidates whose ...

New

Cogeco

Specialist, QA Test Automation

Quincy, MA

Specialist, QA Test Automation POSITION SUMMARY We aren't looking for an all-knowing AI guru to ... Here, you will manage, influence, play, create, fix, and shape the industry. For candidates whose ...

New

Cogeco

Specialist, QA Test Automation

Rochester, NH · On-site

Specialist, QA Test Automation POSITION SUMMARY We aren't looking for an all-knowing AI guru to ... Here, you will manage, influence, play, create, fix, and shape the industry. For candidates whose ...

New

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How much do manager ai qa jobs pay per year?

As of May 29, 2026, the average yearly pay for manager ai qa 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 are the key skills and qualifications needed to thrive as a Manager AI QA, and why are they important?

To thrive as a Manager AI QA, you need a strong background in software quality assurance, AI/ML concepts, and leadership, typically supported by a degree in computer science or related fields. Familiarity with QA automation tools (like Selenium or Appium), AI testing frameworks, and experience with cloud platforms and version control systems is important. Exceptional communication, problem-solving skills, and the ability to lead cross-functional teams set standout candidates apart. These skills ensure rigorous testing of AI solutions, drive process improvements, and help teams deliver robust, reliable AI products.

How does a Manager AI QA typically collaborate with data scientists and software engineers during the development lifecycle?

A Manager AI QA works closely with both data scientists and software engineers to ensure the quality and reliability of AI models and systems. During development, they help define testing strategies, review model validation procedures, and facilitate communication across teams to address potential issues early. They often coordinate the creation of test datasets, oversee automated testing pipelines, and provide feedback to improve model robustness. This collaborative environment helps ensure that AI solutions meet both functional and ethical standards before deployment.

What does a Manager AI QA do?

A Manager AI QA (Artificial Intelligence Quality Assurance) oversees the testing and quality assurance processes for AI-based products and solutions. They lead teams responsible for identifying defects, ensuring model accuracy, and validating performance metrics. Their role includes developing QA protocols specific to AI, coordinating with data scientists and engineers, and implementing best practices to maintain high-quality AI systems. They also stay updated on emerging AI testing methodologies and tools to ensure projects meet industry standards.
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Manager Ai Qa jobs near you
Infographic showing various Manager Ai Qa job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,074 per year, or $56.8 per hour.

Agentic AI QA Engineering Manager (Director QA Automation & AI)

Capgemini America, Inc.

Charlotte, NC

$160K - $200K/yr

Other

Posted 13 days ago

Job description

Locations: Charlotte, NC | New York, NY | Chicago, IL | Charlotte, NC | Atlanta, GA (Hybrid 3 days onsite)
Salary: $160K $200K base + 20% bonus
Employment: Full-Time
Sponsorship: Not available (No C2C / No Visa Sponsorship)

Overview

We are seeking a hands-on QA Engineering Manager to lead the transformation of Quality Engineering through automation and AI-driven (agentic/LLM-based) testing.

This role will focus on modernizing an existing QA function, increasing automation maturity, and introducing AI-assisted test generation, execution, and optimization within an Agile environment.

Key Responsibilities
  • Lead modernization of QA by shifting from manual testing to automation-first and AI-assisted testing models
  • Design and implement automated test frameworks for web, mobile, and API applications
  • Develop and scale LLM/agent-based testing approaches (test generation, self-healing, intelligent prioritization)
  • Integrate automated and AI-driven testing into CI/CD pipelines
  • Evaluate current QA processes and drive improvements in efficiency, coverage, and reliability
  • Partner with engineering, product, and business teams to align testing with user journeys and business outcomes
  • Manage and mentor QA team members while remaining hands-on with automation and scripting
Required Qualifications
  • 7 10+ years of experience in QA Engineering / Test Automation
  • Prior experience leading or managing QA teams in large-scale Agile environments
  • Strong hands-on experience with test automation (Selenium, Playwright, Cypress, or similar)
  • Experience writing and maintaining automation scripts (Java, Python, or similar)
  • Exposure to AI/LLM-based testing, test generation, or automation enhancements
  • Experience testing web, mobile, and API-based applications
  • Strong understanding of CI/CD integration for automated testing
  • Experience in financial services or regulated environments is a plus
  • Strong understanding of risk, controls, and enterprise QA standards
Nice to Have
  • Experience with agentic AI concepts (multi-agent systems, self-healing tests, human-in-the-loop validation)
  • Familiarity with modern AI/automation tooling for QA
  • Experience improving or building QA functions from low to high automation maturity
What You ll Be Doing in the First 6 Months
  • Assess current QA and automation maturity
  • Increase automation coverage and improve testing efficiency
  • Introduce and scale AI-assisted testing capabilities
  • Establish a more engineering-driven QA approach
Additional Notes
  • This is an internal hiring process (no client interview)
  • Candidates must be able to work onsite 3 days/week in one of the listed locations
  • This role requires a hands-on engineering leader, not a process-only QA manager

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