Job description

About the role As a Lead QA Engineer with GenAI & Automation experience (Insurance) , you will make an impact by driving end-to-end quality assurance strategy and execution for next-generation applications, including GenAI-based solutions. You will be a valued member of the QA and Engineering team and collaborate closely with product owners, development teams, offshore QA teams, and business stakeholders. In this role, you will: • Define and implement QA strategies, test plans, and automation frameworks for UI, API, and GenAI-driven applications • Lead testing efforts for end-user applications, integrations, and AI-powered bots, ensuring high-quality releases • Identify automation opportunities, establish test coverage, and select appropriate tools and frameworks • Collaborate with global QA teams to drive test execution, defect management, and automation development • Track and communicate test progress, quality metrics, and risks through dashboards and executive reporting Work model We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered • 10–15 years of experience in Quality Assurance, with at least 5+ years in test automation • Strong expertise in automation tools and frameworks such as Selenium or Playwright, including framework design and maintenance • Experience in API testing, CI/CD pipelines, and modern testing practices • Proven experience with Robot Framework and Playwright for UI automation • Solid understanding of testing fundamentals: test strategy, test planning, and defect management processes • Domain expertise in Property & Casualty insurance, including property claims and claims processing • Hands-on experience in UI and integration testing • Experience working with Oracle databases and PL/SQL • Exposure to GenAI implementations in QA, including GitHub Copilot adoption and usage • Experience testing AI models, AI bots, or GenAI-based applications • Strong communication, collaboration, and stakeholder management skills These will help you stand out • Experience designing QA strategies specifically for GenAI bots or AI-driven solutions • Hands-on expertise in GenAI agent development • Experience driving QA governance across distributed/global teams • Strong analytical mindset with a data-driven approach to quality and continuous improvement • Ability to manage multiple priorities in a fast-paced, agile environment Salary and Other Compensation: The annual salary for this position is between $71,100– $112,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Define and implement QA strategies, test plans, and automation frameworks for UI, API, and GenAI-driven applications
Lead testing efforts for end-user applications, integrations, and AI-powered bots, ensuring high-quality releases
Identify automation opportunities, establish test coverage, and select appropriate tools and frameworks
Collaborate with global QA teams to drive test execution, defect management, and automation development
Track and communicate test progress, quality metrics, and risks through dashboards and executive reporting
What you need to have to be considered
10–15 years of experience in Quality Assurance, with at least 5+ years in test automation
Strong expertise in automation tools and frameworks such as Selenium or Playwright, including framework design and maintenance
Experience in API testing, CI/CD pipelines, and modern testing practices
Proven experience with Robot Framework and Playwright for UI automation
Solid understanding of testing fundamentals: test strategy, test planning, and defect management processes
Domain expertise in Property & Casualty insurance, including property claims and claims processing
Hands-on experience in UI and integration testing
Experience working with Oracle databases and PL/SQL
Exposure to GenAI implementations in QA, including GitHub Copilot adoption and usage
Experience testing AI models, AI bots, or GenAI-based applications
Strong communication, collaboration, and stakeholder management skills
These will help you stand out
Experience designing QA strategies specifically for GenAI bots or AI-driven solutions
Hands-on expertise in GenAI agent development
Experience driving QA governance across distributed/global teams
Strong analytical mindset with a data-driven approach to quality and continuous improvement
Ability to manage multiple priorities in a fast-paced, agile environment
The annual salary for this position is between $71,100– $112,500 depending on experience and other qualifications of the successful candidate.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apiairestci/cdsqlagile

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave