AI-Powered QA Automation Engineer

BC Forward

Charlotte (NC)

On-site

USD 69,000 - 98,000

Full time

7 days ago
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Job summary

BCforward is seeking an AI + SQE Automation Engineer for a contract role in Jersey City, NJ or Charlotte, NC. The onsite position (12 months) focuses on AI-assisted testing, quality engineering, and test automation across UI, API, and end-to-end layers to boost productivity and reduce risk.

Responsibilities include designing automation frameworks, leveraging AI to optimize test cases and data, and validating data quality, controls, and compliance within CI/CD pipelines.

Qualifications

  • Experience in QA engineering for UI, API, and end-to-end testing in Agile/Scrum.
  • Proficient with automation frameworks and CI/CD integration.
  • Knowledge of AI-assisted testing and AI-driven test optimization is a plus.

Responsibilities

  • Analyze requirements and APIs to craft test strategies.
  • Develop and maintain UI/API automation frameworks.
  • Leverage AI to generate test data, scripts, and documentation.
  • Perform AI-assisted impact analysis and regression scope definition.
  • Create reusable automation assets and enhance test execution efficiency.
  • Validate data quality, business rules, and controls.
  • Support CI/CD pipelines with automated tests.
  • Analyze telemetry and logs to identify quality risks and gaps.
  • Collaborate on dependency analysis across code repos and services.
  • Ensure AI-generated outputs are reviewed with human-in-the-loop.

Skills

Quality Engineering
Automation
AI tools
Java
JavaScript
Python
SQL
Git
Jenkins

Tools

Selenium
Playwright
Cypress
Cucumber BDD
TestNG/JUnit
REST Assured

Job description

BCforward is seeking an AI + SQE Automation Engineer for a contract role in Jersey City, NJ or Charlotte, NC. The onsite position (12 months) focuses on AI-assisted testing, quality engineering, and test automation across UI, API, and end-to-end layers to boost productivity and reduce risk.

Responsibilities include designing automation frameworks, leveraging AI to optimize test cases and data, and validating data quality, controls, and compliance within CI/CD pipelines.

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