Role: Quality Engineer – AI & Test Automation Location: Oakland CA, Atlanta, GA (Hybrid) Duration: Contract Role Summary The AI Automation Quality Engineer is responsible for developing intelligent and scalable test automation solutions using AI/GenAI, modern automation frameworks, and engineering practices to improve software quality, test coverage, and delivery speed. This is a hands-on Quality Engineering and automation development role, not a primarily manual QA/testing position. Key Responsibilities
- Develop and maintain automated testing frameworks for UI, API, integration, regression, and end-to-end testing.
- Build AI-assisted test automation using GenAI tools to generate test cases, test data, automation scripts, and validation scenarios.
- Use AI to identify test coverage gaps, regression risks, defects, and potential failure scenarios.
- Automate API testing for REST/SOAP services and validate integrations across enterprise applications.
- Develop automated regression suites and integrate them into CI/CD pipelines.
- Use AI to accelerate test-script generation, test maintenance, defect analysis, root-cause analysis, and test documentation.
- Develop and manage test data required for automated testing.Provide automated quality metrics and test results to support release-readiness decisions.
- Pega Testing Experience
- Experience with Pega application testing is highly preferred, including:Pega case-management and workflow testing Pega Constellation UI Case Types, Stages, Assignments, SLAs and business rules
- Experience or working knowledge of:AI-assisted test-case generation AI-assisted automation-code generation with github copilo tAutomated test-data generationAI-assisted identification of test-coverage gapsAI-assisted defect/root-cause analysisUsing GenAI development tools to improve QE productivityTesting AI/GenAI-enabled application capabilities
- Understanding the challenges of validating non-deterministic AI-generated outputsMust-Have Technical SkillsReusable automation components