Job Title: AI Test Automation Architect
Location: Tampa, FL (Remote)
Duration: Contract
Job Description:
Strategic Leadership: Own the AI-driven test automation roadmap and champion AI integration into testing frameworks and pipelines across product teams.
AI Innovation & Enablement: Harness Gen AI and Agentic AI technologies to build self-healing tests, intelligent test data generation, predictive QA analytics, and autonomous test agents.
Architecture & Framework Development: Design and evolve scalable AI-powered automation frameworks that integrate seamlessly with CI/CD and DevOps processes, covering UI, API, and data layers.
Governance & Standards: Establish standards, KPIs, and governance models for AI test automation to ensure quality, security, transparency, and measurable ROI.
Collaboration & Mentorship: Partner closely with product teams, QE engineers, data scientists, and DevOps to embed AI-driven automation practices. Mentor engineers to adopt AI capabilities effectively and responsibly.
Performance & Investment Metrics: Define and track KPIs, total cost of ownership (TCO), and effectiveness metrics to guide AI automation investments and demonstrate continuous value.
Risk Management & Ethical AI Use: Ensure AI initiatives conform to ethical guidelines, data privacy laws, and organizational risk policies.
Required Skills
Proven experience in enterprise test automation architecture, with a focus on AI-powered solutions.
Deep expertise in Gen AI, Agentic AI, machine learning models applicable to test automation, natural language processing (NLP), and AI orchestration platforms.
Strong software engineering background with proficiency in modern test automation tools and frameworks (Playwright, Katalon, Selenium, Appium, REST-Assured, etc.).
Experience with AI-powered testing tools or developing custom AI solutions for automated testing, test data generation, defect prediction, or autonomous testing agents.
Familiarity with DevOps practices, CI/CD pipelines, cloud-native applications, and infrastructure-as-code.
Exceptional problem-solving, architectural design, and communication skills, with demonstrated ability to lead cross-functional AI initiatives.
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