At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
Your Mission: Join our team in a pivotal role that combines deep technical quality assurance expertise with strong business acumen. As a QA Lead, you will work directly with the client's teams, engaging with stakeholders across the project to safeguard product quality at every stage of the software lifecycle. Your mission is to own the testing strategy, truly understand the business rules and overall functioning of the project, and bring AI-augmented practices into QA to raise the bar for quality and efficiency.
Key Responsibilities:
- Define, implement, and continuously evolve the QA strategy for the project, covering test planning, execution, and reporting.
- Work directly with the client's teams to learn the business rules, user flows, and overall functioning of the project, translating that understanding into effective test coverage.
- Design, produce, and execute test cases (manual and automated) across functional, regression, integration, and non-functional testing.
- Communicate test results, risks, and quality metrics clearly to both technical and business stakeholders.
- Collaborate with developers, business analysts, and product owners to clarify requirements and surface edge cases early in the development cycle.
- Lead and mentor other QA professionals, establishing best practices and quality standards across the team.
- Organize and prioritize testing activities independently, managing competing deadlines with minimal supervision.
- Identify and drive opportunities to apply AI tools to test design, test data generation, defect analysis, and overall QA efficiency.
- Document test plans, processes, and quality reports to ensure standardization and alignment with the client's compliance and performance standards.
Requirements for this Position:
- Excellent communication skills in English, with the confidence and clarity to engage directly with the client's teams.
- Strong self-organization and autonomy, with a proven ability to manage priorities and deliver without close supervision.
- Solid technical background in QA, including test case design, execution, defect tracking, and test automation concepts.
- Strong business-oriented mindset, genuinely interested in learning the project's business rules and overall functioning, not just its technical layer.
- Current, practical experience using AI tools applied to QA (e.g., AI-assisted test case generation, AI-powered test automation, or AI-driven defect analysis).
- Experience with Agile methodologies and QA processes within Agile delivery.
- Strong communication, documentation, and problem-solving skills.
- A proactive, consultative mindset with the ability to lead discussions and influence quality-related decisions.
Stand-out Requirements: You will be one step ahead if you have:
- Hands-on experience working in an agentic AI setting applied to QA, leveraging autonomous or semi-autonomous AI agents to support test generation, execution, or analysis.
- Experience acting as a QA Lead or similar role embedded directly with a client's teams, without an intermediary layer of stakeholders.
- Background in leading QA teams and building quality processes from the ground up.
- Familiarity with test automation frameworks and CI/CD pipelines.
- Experience working in digital consulting environments.