Job Description

QA Engineering Manager – AI & Automation

Position Overview

We are looking for a hands-on QA Engineering Manager to lead the transformation of quality engineering using AI-assisted testing, automation and modern QA practices. The role will focus on scalable test automation, intelligent regression testing, AI-assisted test case generation, defect analysis and root-cause analysis for our insurance technology platform.

Key Responsibilities

Lead the QA automation and AI-driven quality engineering strategy.

Build and maintain scalable end-to-end test automation using Playwright.

Use Claude/GenAI tools for test case generation, automation development and test maintenance.

Develop AI-assisted regression testing and change-impact-based test selection.

Use AI to support defect analysis, duplicate detection and root-cause analysis.

Automate functional, API, integration and end-to-end testing.

Integrate automated testing into CI/CD pipelines.

Build reusable QA frameworks, tools and automation accelerators.

Work closely with Product, BA, Engineering and Architecture teams to improve quality and test coverage.

Mentor QA engineers and drive adoption of AI-assisted testing practices.

AI / GenAI Experience

Hands-on experience with Claude or Claude Code and other AI tools for software testing.

Experience with AI-assisted test case and test data generation.

Experience using AI for Playwright automation creation and maintenance.

Experience with AI-assisted regression analysis and test prioritization.

Experience with AI-assisted defect analysis and RCA.

Understanding of prompt engineering, context engineering and AI agents.

MCP, RAG or AI agent experience is an advantage.

Required Technical Skills

12 -15+ years of QA / Quality Engineering experience.

5+ years of QA leadership or management experience.

Strong hands-on experience with Playwright and test automation.

Strong API, integration and end-to-end testing experience.

Programming/scripting skills and SQL/database testing.

CI/CD, Git and Agile/Scrum experience.

Experience designing and managing automation frameworks.

Insurance / Domain Experience

Experience in P&C insurance, InsurTech or insurance technology platforms is preferred.

Experience with policy administration, product configuration, rating, underwriting or rules engines is highly desirable.

Experience testing insurance product configurations, rating rules and end-to-end policy workflows is an advantage.

Leadership & Soft Skills

Strong communication and stakeholder management skills.

Hands-on and outcome-oriented leadership style.

Ability to work closely with Product, BA, Engineering, Architecture and business teams.

Strong problem-solving and analytical skills.

Ability to introduce AI-enabled ways of working and mentor teams.

Lead QA Engineering AI & Automation