Job description

About the Role As a GenAI Automation Test Lead/Architect, you will make an impact by driving the adoption of Generative AI across the Software Testing Lifecycle (STLC), enabling AI-powered test automation, test data generation, and intelligent quality engineering solutions. You will be a valued member of the Quality Engineering team and collaborate with architects, product owners, developers, data scientists, AI engineers, and business stakeholders to deliver innovative testing solutions. In This Role, You Will: • Develop and implement GenAI-powered solutions for automated test design, code generation, execution, and defect analysis. • Design and build AI-assisted UI and API automation frameworks using modern quality engineering practices. • Lead the architecture and implementation of Generative AI solutions, including prompt engineering, model optimization, and retrieval-augmented generation (RAG) frameworks. • Define Quality Engineering and GenAI adoption roadmaps aligned to business objectives, governance standards, and responsible AI practices. • Collaborate with cross-functional teams and mentor engineers on GenAI, Agentic AI, automation, model deployment, and AI safety best practices. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Charlotte, NC. Regardless of your working arrangement, we are here to support a healthy work-life balance through 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 • 14+ years of experience in Quality Engineering, Test Architecture, and enterprise-scale test automation programs. • Hands-on expertise in Generative AI, Agentic AI, Prompt Engineering, RAG architectures, and AI-assisted testing solutions. • Strong programming skills in Python and Java with deep experience in Selenium, Playwright, API Automation, and scalable automation frameworks. • Experience with Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, Anthropic Claude, and related AI ecosystems. • Proven ability to define QE strategy, automation roadmaps, governance frameworks, and drive measurable quality and productivity improvements while leading global teams. These Will Help You Stand Out • Experience designing GenAI solutions for test data generation, synthetic data creation, and intelligent test case generation. • Experience building AI-powered quality engineering platforms and productivity accelerators. • Knowledge of transformer architectures, large language models (LLMs), multimodal AI, and model fine-tuning approaches. • Experience evaluating AI platforms, vendors, and build-versus-buy strategies for enterprise adoption. • General Insurance or Property & Casualty (P&C) Insurance domain experience. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. 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

Develop and implement GenAI-powered solutions for automated test design, code generation, execution, and defect analysis.
Design and build AI-assisted UI and API automation frameworks using modern quality engineering practices.
Lead the architecture and implementation of Generative AI solutions, including prompt engineering, model optimization, and retrieval-augmented generation (RAG) frameworks.
Define Quality Engineering and GenAI adoption roadmaps aligned to business objectives, governance standards, and responsible AI practices.
Collaborate with cross-functional teams and mentor engineers on GenAI, Agentic AI, automation, model deployment, and AI safety best practices.
What You Need to Have to Be Considered
14+ years of experience in Quality Engineering, Test Architecture, and enterprise-scale test automation programs.
Hands-on expertise in Generative AI, Agentic AI, Prompt Engineering, RAG architectures, and AI-assisted testing solutions.
Strong programming skills in Python and Java with deep experience in Selenium, Playwright, API Automation, and scalable automation frameworks.
Experience with Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, Anthropic Claude, and related AI ecosystems.
Proven ability to define QE strategy, automation roadmaps, governance frameworks, and drive measurable quality and productivity improvements while leading global teams.
These Will Help You Stand Out
Experience designing GenAI solutions for test data generation, synthetic data creation, and intelligent test case generation.
Experience building AI-powered quality engineering platforms and productivity accelerators.
Knowledge of transformer architectures, large language models (LLMs), multimodal AI, and model fine-tuning approaches.
Experience evaluating AI platforms, vendors, and build-versus-buy strategies for enterprise adoption.
General Insurance or Property & Casualty (P&C) Insurance domain experience.

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aiapirestpythonjavaazureaws

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave