QA Innovation Lead

Project overview This project focuses on modernizing enterprise-level QA through AI-driven frameworks, predictive quality insights, and automation strategies. The initiative brings innovation to complex integrated environments, moving QA toward a strategic, value-driven function while improving efficiency and delivery accuracy. Team You will collaborate with enterprise QA specialists, automation engineers, architects, and client stakeholders. The team works in a cross-functional environment with a strong focus on continuous improvement, knowledge sharing, and modern QA practices. Position overview We are looking for an Enterprise QA Innovation Lead who will drive AI-enabled transformation across enterprise QA engagements and elevate quality engineering to a strategic, innovation-focused discipline. Technology stack AI-assisted testing tools, automation frameworks, ERP systems, e-commerce platforms, cloud native applications, CI/CD pipelines, predictive analytics, and modern QA toolsets Responsibilities • Lead the design and implementation of AI-driven QA frameworks that optimize test coverage, detect anomalies, and generate predictive quality insights • Drive process innovation across enterprise QA engagements, identifying opportunities to reduce manual effort, accelerate delivery, and standardize QA practices • Collaborate with enterprise clients, internal QA teams, and engineering teams to integrate modern QA methodologies into the SDLC, including shift left, continuous testing, and CI/CD pipelines • Develop and deploy advanced automation strategies, leveraging AI-assisted test generation and intelligent regression testing for ERP, e-commerce, and cloud native applications • Define metrics and analytics frameworks to monitor QA efficiency, automation ROI, defect trends, and predictive quality indicators • Evaluate and introduce emerging QA technologies, AI-driven tools, and best practices for enterprise software quality • Act as a strategic innovation partner to enterprise clients, shaping QA approaches for complex environments and delivering measurable business value • Lead QA modernization initiatives across enterprise accounts, focusing on process efficiency, automation, and predictive QA adoption Requirements • 8 years of QA experience, including hands-on experience with automation frameworks, AI-driven testing, and large-scale enterprise systems • Demonstrated ability to implement AI-assisted QA tools, predictive QA, and continuous testing strategies • Background in optimizing QA processes for ERP, e-commerce, and cloud native applications • Strong analytical and problem-solving skills with experience defining QA metrics and predictive insights • Experience collaborating with enterprise clients and internal teams to implement innovative QA solutions • Strong communication skills with the ability to convey technical innovation and strategic QA improvements to stakeholders Nice to have • Experience with AI testing tools such as Playwright MCP, Cursor, or similar • Background in QA digital transformation initiatives