Quality Engineer, AI & Test Automation

Cognizant

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Dallas, TXPlano, TXCharlotte, NCCary, NCTeaneck, NJMiami, FL
Posted
48 days ago
Freshness
Confirmed live 2 days ago

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Similar $161k
$116k $206k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $124,437–$197,000.

Based on 240 similar postings.

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About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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At a glance

TL;DR · Quality Engineer, AI & Test Automation

Quality Engineer (AI & Test Automation) joins the Quality Engineering & Assurance team to build and maintain robust quality standards for mission-critical intelligent applications. This role involves designing and maintaining test automation frameworks using Java and Python to ensure coverage for new features. Key responsibilities include performing API testing with Postman or Rest Assured, executing SQL queries for database testing, and managing defects in JIRA, ADO, or ALM. The position specifically focuses on certifying AI/ML systems, including testing chatbots for intent recognition, conversational flow, and model fairness. Candidates will utilize GitHub Copilot, Jenkins, GitLab, or GitHub Actions within Agile environments. Technical requirements include experience with Hybrid Automation frameworks, performance tools like JMeter or Gatling, and basic knowledge of cloud platforms like AWS, Azure, or GCP.

What you'll do

  • Design, develop, and maintain test automation frameworks and scripts using Java and Python.
  • Perform API testing by developing functional tests and validating endpoints using Postman or Rest Assured.
  • Write and execute SQL queries to perform database testing and ensure data integrity.
  • Create detailed test cases and execute functional, integration, and regression suites for assigned features.
  • Implement and execute test plans specifically for AI/ML applications and chatbots.
  • Identify issues related to bias, fairness, and model robustness in AI systems.
  • Use AI code assistants and generative AI tools to accelerate test script development and data creation.
  • Log defects and track testing progress using tools like JIRA, ADO, or ALM.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 0 – 1 years of professional experience in a Quality Assurance or Quality Engineering role.
  • Hands-on experience developing and maintaining test automation scripts and frameworks using Java and Python.
  • Basic understanding of the Software Testing Life Cycle and practical experience in an Agile/Scrum environment.
  • Hands-on experience with Hybrid Automation frameworks.
  • Familiarity with CI/CD concepts and tools such as Jenkins, GitLab, or GitHub Actions.
  • Basic knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker).
  • Exposure to performance testing tools such as JMeter or Gatling.

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