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*
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
