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Tier-1 employer, metro context, and broad technical requirements produce moderate candidate competition.
Principal AI-augmented QA requires specialized QA, AI, and security experience, limiting cross-industry portability.
Mandatory 10+ years plus required AI, AEM, and automation expertise create strict screening filters.
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Design and implement AI-driven autonomous End-to-End QA workflows for continuous intelligent testing across multiple services.
Lead quality strategy integration with product development through AI-augmented test infrastructure including self-healing test suites, AI-driven test generation, and visual AI regression tools.
Mentor teams on AI/ML testing practices, drive new testing methodologies adoption, and collaborate across departments to align quality with business outcomes.
M.S./B.S. degree in Engineering or equivalent military experience.
10+ years in QA/Test Automation Engineering with demonstrated impact on product quality.
2+ years hands-on experience with AI/ML technologies including LLMs and prompt engineering.
2+ years experience testing Adobe Experience Manager (AEM) or similar content management applications.
Senior-level engineer with deep expertise in AI-assisted quality engineering within agile/cloud-native environments.
Experience building autonomous testing systems or AI-powered quality tools with REST API automation expertise (Python).
Strategic leader able to influence multi-team quality initiatives through mentoring and cross-functional collaboration.