Core Alliance Group Inc.
Quality Engineer (Automation, AI experience)
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract, Temporary
Location:
Atlanta, GA, USA
Work mode:
Onsite
Published on:
12 September 2026
What they need
Quality Engineer – AI & Test Automation
Role SummaryThe 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 ExperienceExperience with Pega application testing is highly preferred, including:Pega case-management and workflow testing
- Pega Constellation UICase Types, Stages, Assignments, SLAs and business rules
Experience or working knowledge of:
- AI-assisted test-case generation
- AI-assisted automation-code generation with github copilot
- Automated test-data generation
- AI-assisted identification of test-coverage gaps
- AI-assisted defect/root-cause analysis
- Using GenAI development tools to improve QE productivityTesting
- AI/GenAI-enabled application capabilities
- Understanding the challenges of validating non-deterministic
- AI-generated outputs
Must-Have Technical Skills
- Reusable automation components
Preferred Domain Experience
- Pega-based enterprise applications
- Healthcare dental insurance claims clinical enrollment provider or contactmcenter applications
- Java Spring Boot APIs and microservicesLarge scale enterprise modernization programs
Work Location: In person
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