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# Quality Assurance AI/Automation Lead

- **Company:** Great American Insurance Company
- **Location:** Cincinnati, OH, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Automation of Tests, C Sharp (Programming Language), Continuous Integration, DevOps, Systems Development Life Cycle, Selenium, Cloud Platform System, Cypress (Programming Language), Information Technology, Playwright, Cucumber (Software)
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ff68adc4b2c7d5cb

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
 * 10+ years of Quality Assurance experience supporting complex applications.
 * 7+ years of hands-on test automation experience using tools such as Playwright, Selenium, Cypress, Cucumber, Java, C#, or similar technologies.
 * Proven success in evaluating and implementing AI-enabled quality engineering solutions.
 * Experience developing and maintaining automation frameworks and testing solutions.
 * Experience leading automation initiatives or mentoring Quality Engineering teams.
 * Experience with cloud-based platforms and modern DevOps practices.
 * Experience with UI, API, integration, and headless test automation.
 * Experience working in Agile environments with CI/CD practices.
 * Strong communication, problem-solving, and collaboration skills.
 * Insurance experience preferred.

## Description

* Serve as a subject matter expert for AI-enabled Quality Engineering, intelligent automation, and modern testing practices.
 * Lead the evaluation, adoption and scaling of AI-assisted Quality Engineering transformation through continuous testing, automation modernization and AI-enabled testing capabilities across the SDLC.
 * Identify opportunities to leverage AI to accelerate test design, automation development, defect analysis, and quality insights to improve testing efficiency and productivity.
 * Define and promote AI-enabled automation standards, frameworks, best practices, and governance focusing on emerging technologies and industry trends.
 * Evaluate and implement AI-assisted testing capabilities, such as: automated test generation, self healing automation, risk based testing, defect prediction and analysis.

AI-Focused Quality Engineering Center of Excellence

 * Partner with Quality Engineering leadership to mature enterprise CoE capabilities.
 * Create reusable assets, playbooks, standards, templates, and implementation guides.
 * Develop adoption strategies for AI and automation across multiple technology organizations.
 * Measure effectiveness and value realization of enterprise quality initiatives.
 * Establish and monitor KPIs related to automation adoption, AI utilization, engineering productivity, and quality outcomes.

Coaching & Enablement

 * Mentor Quality Engineers on emerging technologies and modern testing practices.
 * Develop training programs, workshops, technical guidance, and educational materials.
 * Build organizational awareness and understanding of AI-enabled Quality Engineering capabilities.
 * Foster a culture of innovation, experimentation, technical excellence, and continuous learning.
 * Act as a trusted advisor to engineering teams implementing AI and automation solutions.