Job Summary
We are seeking a GenAI Automation Lead to drive quality engineering transformation through automation-first strategies and the adoption of Generative AI technologies. In this leadership role, you will be responsible for defining test strategies, governing quality initiatives, and delivering scalable automation solutions across complex enterprise programs. You will leverage modern AI technologies, including Large Language Models (LLMs), prompt engineering, and AI-assisted development tools, to enhance testing efficiency, accelerate delivery, and improve overall software quality.
The ideal candidate will possess deep expertise in test automation, API and integration testing, CI/CD practices, and quality engineering, complemented by hands-on experience with GenAI platforms such as GPT and Claude. This role requires strong leadership, stakeholder management, and communication skills, with the ability to drive innovation and influence quality outcomes across both business and technology teams.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About the Role
As a GenAI Automation Lead, you will lead the evolution of quality engineering practices by combining advanced test automation capabilities with emerging Generative AI technologies. You will be responsible for establishing automation-first testing approaches, driving QA transformation initiatives, and ensuring quality is embedded throughout the software development lifecycle.
In this role you will work closely with cross-functional teams to integrate AI-driven testing techniques, including prompt engineering, LLM-based validation, and intelligent test optimization strategies.
You will also provide leadership in test planning, estimation, governance, and quality strategy execution while collaborating with senior business and technology stakeholders to align quality objectives with organizational goals. The ideal candidate will have a strong understanding of Generative AI concepts, including LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI, and be passionate about applying these technologies to modernize quality engineering practices.
This is an exciting opportunity for a quality engineering leader who enjoys driving innovation, mentoring teams, and shaping the future of AI-enabled test automation within a fast-paced enterprise environment.
In This Role, You Will
- Test Strategy & QA Transformation Governance, Estimation & Planning
- Drive automation-first quality strategy and lead automation solutions across programs.
- Embed GenAI-driven testing using LLMs (GPT-4/4o, Claude etc) with Prompt Engineering.
- Leverage GitHub Copilot and Claude to enable AI-assisted automation and enforce CI/CD quality gates.
- Understanding of GenAI, LLMs, RAG and Agentic AI.
- Quality Engineering experience covering functional, API, integration, and automation testing.
- Hands-on experience with AI platforms and prompt engineering.
- Strong communication, presentation, and stakeholder management skills.
- Ability to work independently, have the capability to lead a team and engage with senior business and technology stakeholders
- Exposure tom Life Insurance, Retirement domain is preferred.
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 3 days a week in a client or Cognizant office in Boston, MA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Required Qualifications
8+ years of experience in Quality Engineering, Test Automation, or Software Testing roles.
Strong hands-on experience with Playwright, Selenium, and API Test Automation frameworks.
Experience designing, developing, and maintaining robust automated testing solutions across web, API, and integration layers.
Knowledge of Generative AI (GenAI) concepts and their application within quality engineering and test automation practices.
Hands-on experience with Prompt Engineering and leveraging Large Language Models (LLMs) to enhance testing efficiency and quality outcomes.
Experience utilizing GitHub Copilot and other AI-assisted development tools to accelerate test automation development and improve productivity.
Strong understanding of CI/CD pipelines and integrating automated quality checks within modern DevOps environments.
Excellent verbal and written communication, presentation, and stakeholder management skills.
Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to both technical and business audiences.
Demonstrated ability to work independently, lead initiatives, and drive quality engineering best practices across programs.
Additional Information
We welcome applicants who share our mission and can make an impact in a variety of ways. Even if you don’t meet every listed requirement, we encourage you to apply. Consider your transferable experience and unique skills that may bring fresh perspective to the role.
Salary and Other Compensation:
Applications will be accepted until October 4th , 2026.
The annual salary for this position is between $71,100 - $112,500 depending on the experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, 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
Disclaimer: The salary, other compensation, and benefits 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.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
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.
