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Metro-based senior QA with reputable employer and niche GenAI testing yields moderate competition.
Strong QA fundamentals transferable, but specialized GenAI/LLM testing increases domain specificity moderately.
Explicit 8+ years and leadership plus deep AI testing and automation requirements enforce high shortlisting strictness.
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Define and implement end-to-end testing strategies for AI/ML products and agent-based solutions, including quality frameworks for LLMs, RAG applications, and autonomous AI agents.
Lead test planning, execution, automation, and quality assurance activities across software and AI platforms, ensuring reliability, scalability, and compliance.
Mentor and lead QA teams while collaborating with cross-functional stakeholders to monitor quality metrics and drive continuous improvement initiatives.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
8+ years of software testing and quality assurance experience with at least 3 years in a leadership role.
Experience in test automation, Agile/Scrum environments, and AI/ML product testing including Generative AI and agent-based systems.
Work Experience Required: 8+ years in testing and QA, including 3+ years leading teams.
Experienced leader with hands-on expertise in automation frameworks and AI/ML product quality assurance.
Strong background in defining sophisticated test strategies for AI agents, LLMs, and enterprise AI solutions, including performance and security testing.
Comfortable operating in Agile environments with responsibility for mentoring teams and driving quality governance and continuous improvement.