> Markdown version of [/jobs/ext/3804738-quality-assurance-analyst-ai-automation](https://www.wearedevelopers.com/jobs/ext/3804738-quality-assurance-analyst-ai-automation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quality Assurance Analyst - AI & Automation - **Company:** THE KINGS - **Location:** Coppell, TX, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, JIRA, Automation of Tests, Code Coverage, Databases, Cursor, Github, Monitoring of Systems, Microsoft SQL Server, Regression Testing, E2e Testing, Standard Sql, Salesforce.Com, SQL Databases, Systems Integration, Test Data, GitHub Copilot, Generative AI, Git, Claude, Restful APIs, GPT, Api Management - **Published:** October 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a2c88d6fac8c21cb ## About the Role You're a QA professional who takes pride in finding the issues everyone else misses. You've made AI tools like GitHub Copilot, Cursor, or Claude a real part of how you test, not just something you've tried. You enjoy following a transaction across multiple systems to make sure the data lands right, and you get real satisfaction from turning hours of manual regression into reliable automation. Most of all, you want to help shape how a team does QA, not just follow a script., * 5+ years of professional QA or software testing experience. * 2+ years of hands-on experience using generative AI or AI-assisted development/testing tools such as Cursor, GitHub Copilot, ChatGPT, Codex, Claude, or similar. * Experience creating and maintaining automated tests. * Experience with functional, regression, integration, and end-to-end testing. * Experience testing multiple integrated applications, such as CRM, ERP/financial, and operational or monitoring systems. * Experience testing Android tablet applications. * Strong API testing and SQL skills. * Familiarity with Git, CI/CD processes, and Agile software development. * Experience with Jira, GitHub Actions, or comparable development lifecycle tools. * Ability to understand complex business processes and turn them into meaningful test scenarios. * Strong analytical, troubleshooting, and communication skills. Nice to Have: * Experience with AccelQ or a comparable commercial test automation platform. * Experience moving from traditional test automation suites to AI-assisted or agent-based testing. * Experience designing or using AI testing agents to generate scenarios, run tests, analyze results, or maintain regression coverage. * Experience creating reusable AI prompts, workflows, or automated testing processes. * Experience testing .NET, SQL Server, Salesforce, APIs, or enterprise system integrations. ## Description * Build and maintain functional, regression, integration, and end-to-end test coverage, both manual and automated. * Use AI tools to generate test scenarios, find edge cases, create test data, and speed up test automation. * Turn business requirements, user stories, acceptance criteria, and defects into effective test cases. * Test REST APIs, system integrations, database transactions, and business workflows. * Verify that data and transactions flow correctly across multiple integrated business applications. * Test Android tablet applications for functionality, usability, and device-specific behavior. * Use SQL to validate data, troubleshoot issues, and verify test results. * Perform exploratory and risk-based testing where automation isn't the right fit. * Help integrate automated tests into CI/CD pipelines. * Investigate failed tests and determine whether the cause is the application or the automation. * Partner with Developers, Project Owners, and other stakeholders throughout the development lifecycle. * Find opportunities to reduce manual regression testing and improve test coverage. * Help build reusable AI-assisted QA practices, prompts, and automation standards.