QA AI Specialist

FiservSunnyvale, NJ
1dOnsite

About The Position

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. We are seeking a QA AI Specialist to transform our quality assurance practices through AI-powered testing automation and intelligent quality processes. You will leverage AI tools to dramatically accelerate test creation, improve test coverage, and build intelligent systems that can identify defects and regressions more effectively. This includes applying AI capabilities to legacy codebases that may lack adequate test coverage. This role is about using AI to be a dramatically more effective QA professional—not about building AI/ML models.

Requirements

  • 8+ years of QA/SDET/Test Engineering experience with strong automation background
  • Strong proficiency in Python and/or Java for test automation development
  • Hands-on experience with major LLM-powered coding assistants and the ability to evaluate emerging tools
  • Deep expertise in test automation frameworks (Selenium, Playwright, Cypress, pytest, JUnit)
  • Experience with CI/CD integration for automated testing pipelines
  • Strong understanding of testing methodologies, test design patterns, and quality metrics
  • Experience testing complex systems including APIs, microservices, and distributed architectures
  • You must currently possess valid and unrestricted U.S. work authorization to be considered for this role.

Nice To Haves

  • Experience in fintech or regulated industries with compliance testing requirements
  • Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
  • Background in prompt engineering or working with LLM APIs
  • Experience with performance testing and chaos engineering
  • Experience adding test coverage to legacy systems with limited documentation
  • Familiarity with security testing and vulnerability assessment

Responsibilities

  • Design and implement AI-powered test generation systems that automatically create unit, integration, and end-to-end tests from code, requirements, and user stories
  • Leverage major LLM-powered coding assistants to accelerate test script development and maintenance
  • Build intelligent test analysis systems that identify flaky tests, prioritize test execution, and predict high-risk areas of the codebase
  • Create AI-assisted test coverage analysis for legacy systems, identifying gaps and generating tests for untested code paths
  • Develop agentic workflows for automated regression testing, bug reproduction, and root cause analysis
  • Implement AI-powered visual testing and UI validation that can intelligently detect meaningful changes
  • Build systems that use AI to generate test data, mock services, and simulate edge cases
  • Champion AI-assisted QA practices across engineering teams and drive adoption of new testing approaches
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