As an AI Quality Engineer at Accenture, you will drive Shift Left and AI-first quality across the SDLC, reducing defects early and leveraging AI-powered testing to improve speed and accuracy. You’ll build scalable automation in cloud environments and promote autonomous test agents and data-driven insights to modernise the testing lifecycle. Collaborating with cross‑functional teams, you shape QA strategy for secure, compliant digital transformations. This role offers exposure to cutting‑edge AI testing, cloud platforms, and differentiated client delivery.
Pay / Benefits
up to 25 days vacation per year
private medical insurance
3 extra days leave per year for charitable work
flexibility and mobility to onsite client delivery
extensive benefits package
Responsibilities
Embed Shift Left and AI‑Assisted Quality practices in requirements, design, and risk identification to prevent defects
Execute intelligent exploratory testing augmented by AI insights to uncover risks and defects
Develop and maintain modular automated test frameworks using OOP and AI augmentation (e.g., Playwright, Selenium, Cypress) in Java or Python
Leverage AWS/GCP cloud environments for distributed test execution and data pipelines within CI/CD pipelines
Drive Agentic AI in Testing: autonomous test agents, AI-driven defect prediction and test suite prioritisation
Improve client delivery with AI insights by analysing bottlenecks and recommending QA improvements
Collaborate with cross‑functional teams to maintain feedback loops between developers, product owners and stakeholders
Key requirements
2+ years in Quality Engineering/Technical Testing
Shift Left experience in SDLC and AI-assisted analysis
Manual and exploratory testing experience with data-driven or AI-supported techniques
Proficiency in Java or Python (OOP)
Hands-on automation with Playwright, Selenium, or Cypress
Experience with AI-augmented testing or AI tooling exposure
REST API testing experience (e.g., Postman)
Independence to manage workstreams with minimal supervision
Cloud experience with AWS or GCP for test infra and data pipelines
Desirable: autonomous testing agents, AI-driven test orchestration, and ML-based feedback loops
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