QA Lead (AI & Technology Projects)
by Master Works in Artificial Intelligence
Responsible for defining, governing, and enforcing comprehensive Quality Assurance practices across AI and technology projects to ensure high delivery quality, regulatory compliance, and client confidence. Leads the design and implementation of end-to-end QA strategies, standards, and testing frameworks covering the full software development lifecycle. Oversees testing activities including functional testing, system testing for end-to-end business workflows, and integration testing between system components and services. Conducts and supervises API and backend testing using tools such as Swagger, Postman, and Rest Assured, while implementing automated testing frameworks including Robot Framework, SHAFT Engine, and Selenium to improve testing efficiency and coverage. Manages performance testing using tools such as JMeter, Locust, Gatling, and k6 to ensure system reliability and scalability. Reviews, validates, and approves all QA deliverables and testing evidence before submission to clients, ensuring traceability between requirements, test cases, defects, and final delivery outcomes. Leads QA planning, resource allocation, and execution oversight while coordinating closely with development, data, and AI teams throughout the delivery lifecycle. Drives continuous improvement of QA methodologies, processes, and quality metrics while ensuring adherence to best practices in Agile software delivery environments and maintaining alignment with enterprise project standards within Saudi Arabia.