Gen AI - Test Lead

Key Responsibilities

• Lead quality assurance activities for AI-enabled and AI-driven projects.
• Define and implement AI-led testing strategies, frameworks, and best practices.
• Evaluate and leverage AI-powered testing tools to improve test coverage, efficiency, and defect detection.
• Design test approaches for AI solutions, machine learning models, generative AI applications, and intelligent automation use cases.
• Collaborate with business, architecture, development, and data teams to understand solution requirements and testing needs.
• Develop and oversee functional, integration, regression, performance, and user acceptance testing activities.
• Create and maintain test strategies, test plans, test cases, test data approaches, and quality metrics.
• Establish quality gates and governance processes for AI project delivery.
• Drive test automation initiatives and continuous testing capabilities.
• Analyze testing results, identify risks, and provide quality recommendations to stakeholders.
• Mentor QA engineers and promote quality engineering best practices across teams.
• Participate in solution reviews, release planning, and defect triage activities.

Required Qualifications

• 8+ years of experience in Quality Assurance, Quality Engineering, or Test Management.
• Strong hands-on experience in test planning, test execution, defect management, and QA leadership.
• Experience implementing and managing test automation frameworks.
• Experience using AI-powered testing tools and capabilities for test generation, defect analysis, or test optimization.
• Strong understanding of SDLC, Agile, DevOps, and Continuous Testing practices.
• Experience testing APIs, integrations, cloud applications, and enterprise platforms.
• Ability to define QA strategies and lead testing efforts across multiple projects simultaneously.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong communication and stakeholder management capabilities.

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Preferred Qualifications

• Experience testing AI, Machine Learning, Generative AI, or Intelligent Automation solutions.
• Experience with tools such as Copilot, Testim, Functionize, Mabl, Tricentis, Selenium, Playwright, or similar AI-enabled testing platforms.
• Knowledge of model validation, AI output testing, prompt testing, bias testing, and AI risk assessment.
• Experience working in cloud environments such as Azure, AWS, or Google Cloud.
• Relevant QA certifications (ISTQB, Certified Test Manager, Quality Engineering certifications) preferred.

Key Attributes

• Strong QA leadership combined with hands-on execution capabilities.
• Passion for driving innovation through AI-led testing approaches.
• Self-starter who can operate independently and influence teams.
• Strategic thinker with a strong quality mindset.
• Ability to establish new testing practices and drive organizational adoption.
• Excellent collaboration and stakeholder engagement skills.