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Senior specialized AI-test automation leadership at a Tier-1 bank reduces applicant pool despite brand interest.
Role requires deep financial services quality engineering and compliance knowledge, limiting cross-industry transferability.
Explicit seniority, specific automation, AI-in-testing, and banking compliance requirements enforce strict screening.
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Own and drive end-to-end AI-driven test automation strategy covering batch systems, microservices/APIs, and UI layers for Counterparty Dashboard, Security Service, and CPA/CDA platforms.
Lead adoption and scaling of AI tools for test case generation, coverage analysis, intelligent defect detection, and batch/data validation automation.
Drive release quality ownership through CI/CD-integrated test pipelines, quality gates, and mentor teams on AI-driven quality engineering across large-scale platforms.
9–12 years of software quality engineering experience with strong hands-on expertise in test automation across API, UI, and batch systems.
Proficiency in automation frameworks like Selenium, Playwright, Cypress, RestAssured, Karate, Cucumber, TestNG, or JUnit and programming in Java plus one of Python, TypeScript, or Groovy.
Practical experience using AI/LLM-based testing tools and AI-powered testing platforms for test case generation, test data creation, and anomaly detection.
Location: Pune, India; Corporate Title: Vice President; Work Experience Required: 9–12 years as specified.
Proven leader capable of driving large-scale quality transformations and embedding AI-driven automation in financial services domain workflows, especially counterparty risk and security services.
Strong engineering mindset focused on quality as a product, data-driven decisions, and pragmatic application of AI to improve testing speed, coverage, and reliability.
Collaborative operator skilled in partnering with engineering leadership, product owners, and business stakeholders to align quality goals with delivery timelines and risk management.