Quality Engineering Delivery Lead - AI-augmented ...

Why Zensar?We're a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we're passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other"”and happiness is at the core of everything we do. In fact, we're so into happiness that we've created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We've learned that employee happiness requires more than a competitive paycheck, and our employee value proposition"”grow, own, achieve, learn (GOAL)"”lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar's mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!QA / Quality Engineering Delivery LeadLocation: Atlanta, GA (Hybrid - 3 days onsite) Employment Type: Full-time / Contract Experience: 12-15 years Domain: RetailRole OverviewWe are seeking a visionary Lead AI Automation Engineer to spearhead the transition from traditional testing to an AI-infused Software Testing Life Cycle (STLC). You will be responsible for designing and building a proprietary Agentic AI Platform that automates the journey from initial requirements to executable automation scripts. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practicesKey Responsibilities:Own quality outcomes across programs, releases, and product linesLead day-to-day BAU QA delivery, including:Agent Development: Develop and fine-tune specialized AI agentsTest planning & executionDefect managementRelease validation and go/no-go readinessDrive QE assessments and build continuous improvement & transformation roadmapsDefine and execute modern test automation strategies across:UI, API, Mobile, and End-to-End (E2E) automationLead AI-augmented testing initiatives, including:GPT/LLM-based test case generationIntelligent test design and risk-based testingSelf-healing automation and test optimizationPromote shift-left and shift-right testing by partnering with:Product ManagementEngineeringDevOps and SRE teamsEmbed quality early in the SDLC through CI/CD and cloud-native testingEstablish and track quality metrics, KPIs, and dashboardsProvide clear visibility into quality status, risks, and dependencies for senior stakeholdersMentor QA/QE teams and foster a continuous improvement and innovation culture.Required Skills & ExperienceMust Have10-14 years of experience in QA / Quality EngineeringProven leadership experience managing QA/QE teams in Agile & DevOps environmentsStrong hands-on expertise in test automation frameworks, including:Selenium, Playwright, Cypress (any one or more)Exposure to Tricentis Tosca (preferred but not mandatory)Solid experience in:API & integration testingTest data managementDefect lifecycle managementDemonstrated experience conducting:QE maturity assessmentsAutomation ROI analysisQE transformation planningAbility to manage BAU delivery alongside modernization and innovation initiativesStrong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)AI-Augmented & Intelligent QE (Mandatory Focus)Hands-on or leadership experience with AI-driven QE practices, including:GPT / LLM-based test case & test scenario generationAI-assisted exploratory testingIntelligent test selection, prioritization, and impact analysisExperience building or adopting intelligent automation frameworks with:Self-healing capabilitiesDynamic locators & adaptive scriptsFamiliarity with:Generative AI usage in QE pipelinesPrompt engineering for test generationAbility to operationalize AI in QE, not just PoCsZensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.Zensar values your privacy. 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Created: 2026-05-09