Join CI&T as a QA Lead and help a client team build confidence in product quality throughout the software lifecycle. You’ll shape the testing approach, understand the project’s business rules, and apply AI-augmented practices to make quality assurance more effective. CI&T works with enterprises on AI deployment, technology transformation, and business solutions, bringing together teams across more than 25 countries.

Responsibilities

• Define and evolve the project’s QA strategy, including test planning, execution, and reporting
• Learn the client’s business rules and user flows, and turn that understanding into effective test coverage
• Design and execute manual and automated tests across functional, regression, integration, and non-functional areas
• Communicate test outcomes, risks, and quality metrics to technical and business stakeholders
• Work with developers, business analysts, and product owners to clarify requirements and identify edge cases early
• Mentor QA professionals and promote consistent quality practices
• Prioritize testing activities independently and manage competing deadlines
• Explore AI tools for test design, test data generation, defect analysis, and QA efficiency
• Document test plans, processes, and quality reports in line with client standards

Required qualifications

• Excellent English communication skills and confidence working directly with client teams
• Strong self-organization and ability to manage priorities autonomously
• Solid QA experience, including test case design and execution, defect tracking, and test automation concepts
• A business-oriented approach and interest in understanding how the project works beyond its technical layer
• Practical experience using AI tools in QA, such as AI-assisted test case generation, AI-powered test automation, or AI-driven defect analysis
• Experience with Agile methodologies and QA processes in Agile delivery
• Strong documentation and problem-solving skills
• A proactive, consultative approach and the ability to lead discussions and influence quality decisions

Preferred qualifications

• Hands-on experience with agentic AI for QA, using autonomous or semi-autonomous agents to support test generation, execution, or analysis
• Experience as a QA Lead, or in a similar role, working directly with client teams
• Experience leading QA teams and establishing quality processes
• Familiarity with test automation frameworks and CI/CD pipelines
• Experience in digital consulting

What to expect
You’ll take ownership of quality practices while collaborating closely with client stakeholders and multidisciplinary teams. You’ll help bring business context, technical QA expertise, and practical AI applications together to support reliable software delivery.