Agentic AI QA Engineering Manager (Director - Quality Engineering & Automation)
$160kCapgemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. LOCATIONS: NEW YORK, NY | CHICAGO, IL | CHARLOTTE, NC | ATLANTA, GA (HYBRID – 3
DAYS/WEEK)
POSITION OVERVIEW:
We are seeking a hands-on QA Engineering Manager to lead the transformation of Quality Engineering by advancing test automation and introducing AI/LLM-driven (agentic) testing capabilities. This role will focus on assessing and modernizing an existing QA function, increasing automation maturity, and establishing a more engineering-driven testing model. The ideal candidate brings a strong background in automation, scripting, and QA leadership, along with exposure to emerging AI-driven testing approaches.SPONSORSHIP: NOT AVAILABLE
KEY RESPONSIBILITIES
QA TRANSFORMATION & AUTOMATION
* Evaluate current QA processes and identify opportunities to improve automation, efficiency, and coverage- Lead the transition from manual testing to an automation-first approach
- Design and implement scalable automated test frameworks across web, mobile,
AI-DRIVEN TESTING / AGENTIC CAPABILITIES
* Introduce and evolve AI-assisted/LLM-based testing approaches (test generation, optimization, self-healing test scripts) * Translate business requirements, user stories, and acceptance criteria into automated test assets * Establish best practices for integrating AI into QA within enterprise constraintsENGINEERING & DELIVERY
* Partner with engineering teams to integrate automated testing into CI/CD pipelines * Ensure alignment between QA strategy and product delivery, user journeys, and business outcomes * Contribute hands-on to test automation development and scriptingLEADERSHIP & TEAM MANAGEMENT
- Lead and mentor QA engineers, driving a more engineering-focused culture
- Balance hands-on technical contributions with team leadership
GOVERNANCE & RISK
* Ensure QA practices align with enterprise risk, controls, and audit requirements * Implement validation checkpoints and maintain high standards for test quality and reliabilityREQUIRED QUALIFICATIONS:
- 7–10+ years of experience in Quality Engineering / QA Automation
- Experience leading QA teams within large-scale Agile environments
- Strong hands-on expertise with test automation tools (e.g., Selenium,
- Proficiency in test scripting and development (Java, Python, or similar)
- Experience with web, mobile, and API testing
- Exposure to AI/LLM-based testing or automation enhancements
- Experience integrating automated testing within CI/CD pipelines
- Strong understanding of QA processes, defect management, and testing
PREFERRED QUALIFICATIONS
* Experience with agentic AI concepts (multi-agent systems, self-healing automation, human-in-the-loop validation) * Background in improving or scaling QA functions from low to high automation maturity * Familiarity with modern AI-enabled QA tools and frameworks --------------------------------------------------------------------------------WHAT SUCCESS LOOKS LIKE (FIRST 6 MONTHS)
- Assess and baseline current QA and automation maturity
- Increase automation coverage and reduce manual testing dependency
- Begin implementing AI-assisted testing capabilities
- Establish a more consistent, scalable QA engineering approach
ADDITIONAL INFORMATION
- Internal interview process only (no client interview)
- Hybrid model: 3 days per week onsite in one of the listed locations
- This is a hands-on engineering leadership role, not a process-only QA
CORE SKILLS
QA Automation, Quality Engineering, Test Automation Frameworks, Selenium, Playwright, Cypress, API Testing, CI/CD, Java, Python, Test Strategy, Agile, AI Testing, LLM, Agentic AI, Financial Services The base compensation range for this role in the posted location is: $160,000 - $200,000/ yearly. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: * Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave * Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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