Agentic AI QA Engineering Manager (Director QA Automation & AI)

Locations:

New York, NY | Charlotte, NC | Chicago, IL | Charlotte, NC | Atlanta, GA (Hybrid 3 days onsite)

Salary:

$180K $200K base + 20% bonus

Employment:

Full-Time Sponsorship:

Not available (No C2C / No Visa Sponsorship) Overview We are seeking a hands-on QA Engineering Manager to lead the transformation of Quality Engineering through automation and AI-driven (agentic/LLM-based) testing . This role will focus on modernizing an existing QA function , increasing automation maturity, and introducing AI-assisted test generation, execution, and optimization within an Agile environment. Key Responsibilities Lead modernization of QA by shifting from manual testing to automation-first and AI-assisted testing models Design and implement automated test frameworks for web, mobile, and API applications Develop and scale LLM/agent-based testing approaches (test generation, self-healing, intelligent prioritization) Integrate automated and AI-driven testing into CI/CD pipelines Evaluate current QA processes and drive improvements in efficiency, coverage, and reliability Partner with engineering, product, and business teams to align testing with user journeys and business outcomes Manage and mentor QA team members while remaining hands-on with automation and scripting Required Qualifications 7 10+ years of experience in QA Engineering / Test Automation Prior experience leading or managing QA teams in large-scale Agile environments Strong hands-on experience with test automation (Selenium, Playwright, Cypress, or similar) Experience writing and maintaining automation scripts (Java, Python, or similar) Exposure to AI/LLM-based testing, test generation, or automation enhancements Experience testing web, mobile, and API-based applications Strong understanding of CI/CD integration for automated testing Experience in financial services or regulated environments is a plus Strong understanding of risk, controls, and enterprise QA standards Nice to Have Experience with agentic AI concepts (multi-agent systems, self-healing tests, human-in-the-loop validation) Familiarity with modern AI/automation tooling for QA Experience improving or building QA functions from low to high automation maturity What You ll Be Doing in the First 6 Months Assess current QA and automation maturity Increase automation coverage and improve testing efficiency Introduce and scale AI-assisted testing capabilities Establish a more engineering-driven QA approach Additional Notes This is an internal hiring process (no client interview) Candidates must be able to work onsite 3 days/week in one of the listed locations This role requires a hands-on engineering leader , not a process-only QA manager