Quality Engineer (AI & Test Automation)

Cognizant; Concord (NH); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Quality Engineer to join our Quality Engineering & Assurance team in the US. You will help shape AI-driven testing, build robust automation, and ensure quality across intelligent customer-facing platforms.

You will design and maintain test frameworks, perform API and database testing, and collaborate with product managers to sign off on quality. Relocation to the Dallas/Plano TX, Charlotte/Cary NC, Teaneck NJ, or Miami FL area may be required.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• 0–1 years of professional experience in Quality Assurance or Quality Engineering.
• Hands-on experience developing and maintaining test automation scripts using Java and Python.
• Understand STLC and Agile/Scrum environments.
• Interest or experience testing AI-powered applications such as chatbots.
• Experience with Hybrid Automation frameworks.
• Familiar with CI/CD concepts and tools (Jenkins, GitLab, GitHub Actions).
• Exposure to performance testing tools like JMeter or Gatling.
• Basic knowledge of cloud platforms (AWS, Azure, GCP) and Docker.
• Passion for learning trends in AI and software testing.

Responsibilities

• Design, develop, and maintain test automation frameworks in Java and Python.
• Perform API testing and validate endpoints using Swagger, Postman, or Rest Assured.
• Execute SQL queries for database testing and ensure data integrity.
• Own quality for features; create test cases and run functional/integration/regression tests.
• Track testing progress using JIRA/ADO/ALM and report defects.
• Contribute to AI/ML testing: chatbots’ intent, flow, responses, edge cases.
• Leverage AI tools like GitHub Copilot to accelerate test development.
• Ensure CI/CD and cloud/docker aspects are considered during testing.

Skills

Java

Python

Test automation

API testing

SQL

CI/CD

JIRA

AI/ML testing

GitHub Copilot

Docker

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Swagger

Postman

Rest Assured

JMeter

Gatling

JIRA

Jenkins

GitLab

GitHub Actions

Broad CI/CD tools

Job description

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities

• Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.

• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.

• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.

• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.

• Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD concepts.

• Implement and execute test plans for AI/ML applications: Support QA activities and certify the quality of AI-powered systems, including hands-on testing of chatbots for intent recognition, conversational flow, response accuracy, and edge case handling.

• Leverage modern AI tools to enhance workflow: Utilize AI code assistants like GitHub Copilot to accelerate test script development and explore generative AI for tasks such as test data creation and bug report summarization.

• Ensure AI reliability and fairness: Execute test cases to identify issues related to bias, fairness, and model robustness, contributing to the overall trustworthiness of AI systems.

• Develop and maintain test automation scripts and frameworks using Java and Python.

• Have proficiency with test and defect management tools, particularly JIRA or any similar tools.

Required Skills & Qualifications

• 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.

• Some hands-on experience developing and maintaining test automation scripts and frameworks using Java and Python.

• Basic understanding of the Software Testing Life Cycle (STLC) and practical experience working in an Agile/Scrum environment.

• A keen interest in or prior experience testing AI-powered applications, such as chatbots or other AI/ML-based systems.

• Hands-on experience with the Hybrid Automation frameworks.

• Familiarity with CI/CD concepts and tools (e.g., Jenkins, GitLab, GitHub Actions).

• Exposure to performance testing tools (e.g., JMeter, Gatling).

• Basic knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker)

• A passion for learning and staying up to date with the latest trends in AI and software testing.

Location

New hires will be hired to the Cognizant office in Dallas/Plano TX, Charlotte/Cary NC, Teaneck NJ, Miami FL where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment.

Start Date

New hires will start in August 2026 . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.

Salary and Other Compensation:

Applications are accepted on an ongoing basis.

The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Why Choose Us?

Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate’s diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.

Benefits

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance

• Paid holidays plus Paid Time Off

• 401(k) plan and contributions

• Long-term/Short-term Disability

• Paid Parental Leave

• Employee Stock Purchase Plan

Disclaimer

The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.