AI QA Automation Engineer

Apcosys Technology is looking for an AI-driven QA Automation Engineer who can leverage AI agents and modern automation frameworks to analyze requirements from Azure DevOps and Jira, understand application repositories, generate comprehensive test plans, create and execute automated test cases, and provide reusable automation scripts for continuous testing. The ideal candidate should have strong expertise in software testing, test automation, AI-assisted engineering workflows, CI/CD integration, and repository-level code understanding. Key Responsibilities Analyze business and technical requirements from: Azure DevOps Jira Use AI agents/tools to: Interpret user stories and acceptance criteria Identify impacted modules Generate test scenarios and traceability Create detailed test plans and test cases Recommend automation feasibility Review complete application repositories to: Understand architecture and workflows Identify integration points Detect impacted areas for regression testing Develop and execute: UI automation tests API automation tests Integration tests Regression suites Generate, execute, and maintain automation scripts using Playwright Selenium Other AI-assisted automation frameworks Build AI-assisted testing workflows including: Self-healing automation Intelligent test generation Risk-based testing Automated defect analysis Integrate testing into CI/CD pipelines: Azure DevOps Pipelines GitHub Actions Produce: Test plans Test execution reports Automation coverage reports Defect summaries AI-generated insights Collaborate with: Developers Product owners Scrum teams