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 analysis Using GenAI development tools to improve QE productivity Testing AI/GenAI-enabled application capabilities
Understanding the challenges of validating non-deterministic AI-generated outputs
Must-Have: Technical Skills Reusable automation components
