Quality Engineer – AI & Test Automation

Virtusa; Pleasanton (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Virtusa is seeking an AI Automation Quality Engineer to design and implement intelligent test automation solutions using GenAI and modern frameworks. This hands-on role focuses on scalable automation across UI, API, and integration testing with a strong bias toward AI-assisted development and release readiness.

The ideal candidate has hands-on automation experience in large-scale enterprise environments, with familiarity in Pega testing and CI/CD integration to accelerate software delivery.

Qualifications

• This role requires hands-on automation development experience with AI-assisted test generation and maintenance.
• Strong experience in building scalable test automation for UI, API, and integration testing.
• Proficiency with GenAI-enabled tooling and integrating tests into CI/CD pipelines.

Responsibilities

• Develop and maintain automated testing frameworks for UI, API, integration, regression, and end-to-end testing.
• Build AI-assisted test automation to generate test cases, data, scripts, and validation scenarios.
• Use AI to identify coverage gaps, regression risks, and defects.
• Automate API testing for REST/SOAP and validate cross-enterprise integrations.
• Develop automated regression suites and integrate into CI/CD pipelines.
• Provide automated quality metrics and test results for release readiness.
• Pega testing experience including Pega case-management and Constellation UI.

Skills

AI-driven testing

Test automation

GenAI tooling

CI/CD

REST APIs

Java Spring Boot

Pega testing

Tools

Github Copilot

CI/CD tools

Pega Constellation UI

Job description

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.

Job Requirements

Job Description

Quality Engineer – AI & Test Automation

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 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 productivity
• Testing 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 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

Work Experience

5-7Years