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Senior AI Test Engineer (contract)

Description

Title: Senior AI Test Engineer

Location: Irving, TX

Duration: 12 months

Work Engagement: W2

Work Schedule: Hybrid 3 days in office/2 days remote

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.


Key Responsibilities:

  • Own and drive the overall test strategy, including functional, integration, API, UI testing, ensuring alignment with business, security, and AI quality goals.
    • Design, build, and maintain robust, scalable test automation frameworks supporting:
    • UI test automation
    • API test automation
    • Serve as a senior individual contributor responsible for hands on automation and targeted manual testing, particularly for complex or high-risk scenarios.
    • Integrate automated functional into CI/CD pipelines (e.g., Jenkins, GitHub Actions).
    • Validate AI driven capabilities, including:
    • Data quality and integrity
    • Model output behavior and consistency
    • Optional testing of AI based chatbots and conversational interfaces
    • Collaborate with developers and product owners early in the lifecycle to ensure testability and well-defined acceptance criteria.
    • Provide technical guidance and mentorship to junior and offshore QA engineers.
    • Collaborate effectively with offshore teams, ensuring consistent quality standards and execution.
    • Proactively identify quality and performance risks and drive mitigation prior to production release.


Key Requirements:

  • Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

    • Software testing experience with complex, web-based applications.
    • Proven experience operating as a senior individual contributor, owning quality outcomes end to end.
    • Strong hands-on experience with manual testing and advanced test automation.
    • Demonstrated expertise in: UI test automation, API test automation
    • Hands on experience with Playwright for UI and/or API automation (preferred) or equivalent modern frameworks with the ability to adopt Playwright quickly.
    • Experience with Selenium WebDriver.
    • Strong programming skills in C#
    • Experience with BDD principles and writing scenarios using Gherkin.
    • Experience integrating automated functional into CI/CD pipelines.
    • Deep understanding of: Functional, integration, system testing, End to end testing, non functional testing
    • Strong experience with Git based version control.
    • Excellent communication skills and the ability to influence across a matrixed organization.
    • Proven ability to collaborate effectively across onshore and offshore teams.

    Preferred / Nice to Have Experience

    • Experience with performance testing, including: Load, stress, and endurance testing
    • Performance analysis and tuning collaboration with engineering teams
    • Experience using JMeter and BlazeMeter for scalable, cloud based performance execution.
    • Experience with SpecFlow and/or Reqnroll.
    • Familiarity with Micro Focus ALM Octane for test management.
    • Experience executing tests at scale using Lambda Test HyperExecute.
    • Experience testing cloud native applications on AWS, Azure, or GCP.
    • Working knowledge of AI/ML concepts, including NLP and data driven systems.
    • Experience testing AI based chatbots or conversational AI platforms.
    • Familiarity with Microsoft Copilot or similar AI assisted coding/testing tools.

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