QA Automation Engineer - AI Solutions

About the role

The Co-operative Bank of Kenya is looking for a QA Automation Engineer to ensure the quality, reliability, safety and business readiness of AI-enabled solutions through risk-based testing and automation. The role covers software, data, models, integrations and responsible-AI controls, including model accuracy, output quality, robustness and guardrail effectiveness, while keeping independent test evidence aligned with the Bank's quality, risk and responsible-AI standards.

Key responsibilities

• Define and maintain risk-based test strategies and plans for AI applications, data pipelines, integrations and platform services, with traceability to requirements and acceptance criteria.
• Build and maintain automated test suites for APIs, user interfaces, data pipelines, integrations, regression, performance, resilience and security checks.
• Validate AI solution behaviour and safeguards against approved requirements.
• Develop test data and scenarios that address business, technical and AI risks while protecting sensitive data, working with ICT Security and AI Risk and Compliance.
• Integrate automated quality gates into delivery pipelines so defects and failed controls are visible before deployment.
• Coordinate performance, recovery and production verification testing and support user acceptance testing.
• Maintain test evidence in line with audit and governance requirements, track defects and verify fixes, and report residual risks independently.
• Review post-release quality and use findings to improve test coverage, automation and quality practices.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science or a related field.
• At least 4 years in software quality assurance or quality engineering, including at least 2 years of hands-on test automation.
• Demonstrated experience testing APIs, integrations, digital applications and data-intensive systems.
• Exposure to AI/ML validation, model testing or data-quality testing is preferred.
• Professional certifications such as ISTQB Foundation Level, Test Automation Engineer, AI Testing or Agile Testing are an added advantage.

Required skills

• Test strategy, risk-based testing and requirements traceability
• UI, API, integration and data-pipeline automation
• Performance, resilience and security testing
• CI/CD quality gates and test reporting
• Defect management and root-cause analysis