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*
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
