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Tier-1 brand, metro location, and broad AI-plus-automation requirements increase candidate competition.
Automation architecture and AI testing skills are transferable across industries, though finance domain knowledge is beneficial.
Mandatory 12+ years, leadership QE architecture experience, and specific AI and automation tool requirements enforce strict filters.
Architect and deliver scalable, AI-assisted test automation frameworks integrated into CI/CD pipelines to accelerate quality delivery.
Define and drive Quality Engineering (QE) standards, reusable libraries, and best practices across engineering teams.
Lead AI-driven QE solutions including test generation, defect triage, and agentic workflows, while mentoring QE engineers and enabling self-service automation.
12+ years in Software Quality Engineering with at least 3 years in test architecture and framework design.
Hands-on expertise in Playwright and/or Selenium, REST API testing, and automation using JavaScript/TypeScript or Python.
Working knowledge of AI-assisted testing including LLMs, prompt engineering, AI tool integration, and agentic AI workflows.
Bachelor's Degree in IT or Engineering; work timings include partial overlap with US Eastern Time (06:00 AM - 11:30 AM ET).
Experienced in designing enterprise-wide scalable QE architectures with end-to-end thinking and system design skills.
Proficient in embedding AI-powered automation in CI/CD environments and integrating test automation tools like Jenkins and GitHub Actions.
Capable of influencing cross-functional stakeholders and driving adoption of modern AI-driven testing practices and standards.