Quality Engineer AI & Test Automation - F2F in GA

Atlanta, GA, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Corp To Corp
Contract Independent
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • API QA
  • Artificial Intelligence
  • Automated Testing
  • API
  • Test Cases
  • Scripting
  • Pega
  • Generative Artificial Intelligence (AI)
  • Manual Testing
  • Quality Assurance
  • Java
  • Spring Framework
  • Management
  • Testing
  • UI
  • Test Scripts
  • Workflow
  • Root Cause Analysis
  • Defect Analysis

Summary

Quality Engineer   AI & Test Automation 
Atlanta, GA (Hybrid) - Need Locals for inperson interview 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 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 contact center applications.
Java Spring Boot APIs and microservices Large-scale enterprise modernization programs
Candidate Expectations
Candidates whose recent experience is predominantly manual QA testing without significant hands-on automation development should not be submitted
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10315211
  • Position Id: 9084271
  • Posted 1 hour ago
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