AI Test Lead

Hands-on quality engineering lead or Senior AI Tester responsible for reverse-engineering application behavior, establishing missing system integration regression coverage, designing AI assisted test generation workflows and proving that agent driven modernization preserves functional, integration, security and operational behavior.

Required Skills - 7-10 Years of QA/SDET/QE experience with strong automation and AI testing skills.

Good experience with AI Assisted QE, system integration testing.

Strong SDET/quality engineering background with hands on automation of APIs, integrations, UI and end to end enterprise workflows.

Demonstrated use of AI/agentic tools to generate, refine, review, or maintain test scenarios and automation not merely general chatbot usage.

Experience creating regression, system integration coverage for applications with incomplete or outdated test suites.

Strong knowledge of test strategy, risk-based testing, test design, traceability, defect management, root-cause analysis and CI/CD quality gates.

Hands on experience with modern automation tools such as Playwright, Cypress, Selenium, REST/API automation, or equivalent; ability to choose tools based on architecture.

Working knowledge of Java/.NET application behavior, databases/SQL, APIs, middleware,

authentication/authorization, and enterprise integration patterns.

Understanding of LDAP and token-based authentication concepts sufficient to design security and role/authorization test scenarios., Ability to evaluate nondeterministic AI outputs with repeatable acceptance criteria, structured evaluation, and human verification.