Cognizant Technology Solutions Corp logo

GenAI Automation Architect - AI-Driven Quality Engineering Transformation

Cognizant Technology Solutions Corp

  • Charlotte, NC
  • 15 days ago

    Highlights

    As a GenAI Automation Architect - AI-Driven Quality Engineering Transformation, you will make an impact by leading the adoption of Generative AI and Agentic AI solutions across the Quality Engineering lifecycle, accelerating automation, improving quality outcomes, and driving enterprise-wide testing transformation. 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.

    Numbers & Facts

    LocationCharlotte, NC
    IndustryComputer/IT Services
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttps://www.cognizant.com

    Description

    About the role

    As a GenAI Automation Architect - AI-Driven Quality Engineering Transformation, you will make an impact by leading the adoption of Generative AI and Agentic AI solutions across the Quality Engineering lifecycle, accelerating automation, improving quality outcomes, and driving enterprise-wide testing transformation. You will be a valued member of the Quality Engineering organization and work collaboratively with architects, engineering teams, product owners, data scientists, AI specialists, and business stakeholders to deliver innovative AI-powered quality solutions.

    In this role, you will:

    • Lead the transformation of Quality Engineering practices through the adoption of GenAI-powered automation, agentic workflows, and AI-assisted testing solutions.
    • Design and implement intelligent AI agents for test case generation, automation development, defect analysis, self-healing frameworks, and legacy automation modernization.
    • Architect enterprise-scale GenAI and Agentic AI solutions leveraging leading AI platforms, orchestration frameworks, and automation technologies.
    • Define and execute the AI-driven Quality Engineering roadmap, governance strategy, responsible AI practices, and value realization metrics.
    • Mentor engineering and QA teams while fostering an AI-first culture focused on innovation, continuous learning, and delivery excellence.

    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

    • 16+ years of experience in Quality Engineering, Test Architecture, Test Automation, and enterprise-scale quality transformation programs.
    • Hands-on expertise in Generative AI and Agentic AI, including Prompt Engineering, Retrieval-Augmented Generation (RAG), AI-powered test automation, intelligent test design, defect prediction, and root cause analysis.
    • Strong proficiency in Python, Java, Selenium, Playwright, API Automation, and the design of scalable, reusable test automation frameworks.
    • Deep knowledge of modern AI ecosystems including Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, Anthropic Claude, and AI orchestration frameworks.
    • Proven experience defining Quality Engineering strategies, automation roadmaps, governance frameworks, and leading globally distributed engineering teams while delivering measurable business outcomes.

    These will help you stand out

    • Experience building agentic AI solutions using Semantic Kernel, MCP, AI Skills, multi-agent architectures, and autonomous workflow frameworks.
    • Expertise implementing AI-assisted software development and testing practices across the SDLC.
    • Experience evaluating and integrating emerging AI technologies into enterprise engineering ecosystems.
    • Strong understanding of AI governance, security, compliance, model lifecycle management, and responsible AI principles.
    • Demonstrated success driving innovation initiatives, Proofs of Concept (PoCs), and AI transformation programs that improve productivity, quality, and operational efficiency.

    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.

    About Company

    Cognizant is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 230 on the Fortune 500 and is consistently listed among the most admired companies in the world.

    We're driven by a passion to help our clients build stronger, more agile and more innovative businesses.

    Cognizant enables global enterprises to address a dual mandate: to make their current operations as efficient and cost-effective as possible and to invest in innovation to unleash new potential across their organizations.

    What makes Cognizant unique is our ability to help clients meet both challenges. We help them enhance productivity by ensuring that vital business functions work faster, cheaper and better. And, our ability to conceptualize, architect and implement new and expanded capabilities allows clients to transform legacy models to take their business to the next level.

    Similar Jobs