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Tier-1 brand and Bengaluru metro increase applicants, but seniority and GenAI specialization reduce density.
Strong QE/testing and GenAI validation requirements make industry transfer more constrained.
Explicit 9–12 years QE requirement plus GenAI, automation, and leadership make filters strict.
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Manage PODs that deliver AI-led Quality Engineering (QE) services, focusing on AI-based test design, automation, and optimization.
Drive implementation of QE practices specific to AI, including model validation and test data strategies.
Track and report on KPIs, productivity gains, value realization and support client engagements while contributing to asset building and accelerators.
9-12 years of experience in Quality Engineering (QE) or Testing.
Bachelor’s degree in Computer Science, Information Technology, or related field.
Experience with automation frameworks and AI-driven testing approaches.
Exposure to Generative AI tools and scripting, preferably Python.
Experienced in managing engineering delivery teams (PODs) in AI-led testing environments.
Strong in applying AI and generative AI technologies to software testing and QE processes.
Skilled in delivery management and client interaction reporting, focused on measurable productivity and value outcomes.