QA Lead (AI & Technology Projects)

Role Purpose
Responsible for defining, governing, and enforcing Quality Assurance practices across AI and technology projects to ensure delivery quality, compliance, and client confidence.

Key Responsibilities

• Define, establish, and govern the end-to-end Quality Assurance strategy, standards, and testing framework.
• Lead and oversee testing activities covering:
• Functional and System testing for end-to-end business workflows.
• Integration testing between system components and services.
• API and backend testing using tools such as Swagger, Postman, and Rest Assured.
• Test automation using frameworks such as Robot Framework, SHAFT Engine, or Selenium.
• Performance testing using tools such as JMeter, Locust, Gatling, or k6.
• Review, validate, and approve all QA deliverables and testing evidence prior to client submission.
• Lead QA team planning, task allocation, execution oversight, and reporting.
• Ensure full traceability between requirements, test cases, defects, and delivery outcomes.
• Collaborate closely with development, data, and AI teams throughout the delivery lifecycle.
• Drive continuous improvement of QA processes, efficiency, and quality metrics.

Qualifications & Requirements

• Extensive professional experience in Quality Assurance +9 years, including leadership responsibilities.
• Strong hands-on expertise in database testing, API testing, test automation, and performance testing.
• Practical exposure to AI-based systems is an advantage.
• Experience with enterprise in KSA-projects preferred.
• Experience working in Agile delivery environments .

Certifications

• ISTQB CTFL (Mandatory)
• ISTQB CTFL-AT (Preferred)

Language

• Arabic (Native) & English (Fluent)