QA AI Automation Staff Engineer

Quick Facts

• Role: QA AI Automation Staff Engineer (individual contributor)

• Focus: QA automation strategy, AI-driven testing, and scalable test frameworks

Description

You will define and drive a QA automation and quality engineering strategy across a distributed engineering organization, reimagining quality engineering with AI-driven methodologies. The role is hands-on: you will mentor QA engineers, collaborate with software and data teams, and write automation code while applying AI/LLM approaches to smarter test coverage. You will ensure quality is embedded throughout products, processes, and engineering culture.

Responsibilities

• Design and implement QA automation and quality engineering strategy across the delivery lifecycle

• Lead hands-on work from framework design to test creation and AI-assisted validation

• Mentor and upskill QA engineers to increase automation maturity

• Align QA innovation with product, data, and DevOps goals

• Define KPIs for automation adoption, quality coverage, and efficiency gains

• Investigate and apply AI/ML tools for automated test generation, defect prediction, and self-healing test suites

• Use generative AI/LLMs to improve test design and coverage

• Use intelligent analytics to identify high-risk areas and improve test prioritization

• Integrate AI capabilities into CI/CD pipelines for smarter test orchestration

• Build and maintain scalable automation frameworks for API, UI, regression, data, and integration tests

• Apply best practices for version control, CI/CD, and environment management

• Collaborate with development teams for early and consistent testing

• Continuously enhance frameworks to support new technologies and system architectures

Requirements

• 8+ years in Quality Engineering, including 3+ years in a QA automation leadership role

• Strong coding and automation background (Python, JavaScript/TypeScript, or Java)

• Deep understanding of automation frameworks such as Selenium, Cypress, Playwright, REST-assured, or equivalents

• Experience integrating automated tests into CI/CD pipelines and cloud environments (AWS)

• Hands-on experience leveraging AI tools (LLMs, Copilot, or custom AI frameworks) to enhance QA processes

• Strong leadership and mentoring skills for a distributed QA team

• Excellent communication, analytical, and problem-solving skills

• Familiarity with Agile/Scrum and modern DevOps practices

Benefits

• Not a people management role (no direct reports); leadership through influence and collaboration