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Niche GenAI QA leadership reduces applicant density despite known enterprise brand.
Role requires deep AI-focused QA experience, making skills less transferable across industries.
Explicit 10+ years and leadership QA plus AI expertise makes shortlisting highly restrictive.
Lead and build a high-performing QA team focused on AI-driven software development for Generative and Agentic AI systems.
Develop and execute innovative testing strategies and quality metrics tailored to autonomous and AI-based software workflows.
Collaborate cross-functionally to embed a quality-first mindset, communicate AI quality risks and progress, and evolve test automation frameworks suitable for non-deterministic AI behaviors.
Bachelor's degree in Computer Science, Engineering, or related field.
10+ years in Quality Assurance with at least 5 years in a leadership role.
Proven experience leading QA teams in agile, fast-paced environments.
Strong knowledge of software development lifecycle and modern testing methodologies.
Experienced in defining novel quality metrics specific to AI models, including accuracy, bias, safety, and task success for autonomous agents.
Deep understanding of Agentic AI workflows and automated testing challenges related to intelligent, goal-oriented systems.
Hands-on expertise with AI/ML technologies, especially Generative AI (LLMs), and adaptive test automation tools (e.g., Selenium, Playwright) in AI contexts.