Quality Engineer - AI & Test Automation with Pega Testing

Lorven Technologies, Inc.; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Lorven Technologies, Inc. seeks a Quality Engineer – AI & Test Automation to design and implement AI-enhanced test automation across UI and API layers. You will contribute hands-on QE work, creating scalable automation, validating integrations, and accelerating release readiness in a hybrid environment.

The role emphasizes automated tooling, GenAI-assisted test-generation, and robust regression coverage, with preference for Pega testing proficiency and CI/CD integration.

Qualifications

• AI-based test automation experience using GenAI to generate test cases, data, and scripts.
• Pega testing experience including case-management, workflows, and SLAs is highly preferred.
• Hands-on QE experience with automated regression suites and integration to CI/CD pipelines.

Responsibilities

• Develop and maintain automated testing frameworks for UI, API, integration, and end-to-end testing.
• Build AI-assisted test automation using GenAI to generate test cases, data, scripts, and validations.
• Automate API testing for REST/SOAP services and validate cross-application integrations.
• Develop automated regression suites and integrate them into CI/CD pipelines.
• Provide automated quality metrics and test results to support release decisions.
• Gain experience with Pega testing and related UI components.

Skills

AI & GenAI

Test Automation

Pega Testing

CI/CD

REST/SOAP APIs

UI/API Testing

Test Data Management

Defect Analysis

Tools

GitHub Copilot

CI/CD Tools

Automation Frameworks

GenAI Tools

Job description

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