Job Opportunities API

Are you ready to lead the future of AI-powered quality engineering? We are looking for a Principal AI-Augmented Test Automation Engineer to co-own and scale our AI-native E2E test automation offering together with the Practice Lead. This is not a traditional automation role focused only on implementation. You will shape the engagement model, establish scalable testing processes, define AI-driven quality engineering principles, and evolve a reusable Playwright + TypeScript framework used across multiple client environments. You will work directly with senior stakeholders, helping organizations adopt AI-augmented testing practices while ensuring technical quality, operational efficiency, and sustainable delivery models. Process & Solution Establishment • Define and evolve the engagement model for AI-native test automation initiatives • Adapt and extend the universal rule and skill system for different client environments • Advise senior stakeholders on quality strategy, SDLC improvements, automation maturity, and AI adoption • Drive framework standardization while balancing project-specific requirements Analytical Review & AI Output Validation • Review AI-generated outputs, including code, architecture decisions, reports, rules, and testing artifacts • Quickly identify systemic issues, false positives, broken contracts, redundant logic, or inefficient implementations • Trace issues to their root causes and define corrective actions at the right system layer • Improve the reliability and quality of AI-assisted engineering workflows AI-Augmented Testing Operations • Define principles and guardrails for effective AI usage in test automation • Work with AI coding agents and structured prompting approaches to optimize engineering workflows • Continuously improve prompts, skills, layered rules, and framework integrations • Optimize token usage and cost efficiency while maintaining delivery quality Test Automation Architecture • Own and evolve a scalable Playwright + TypeScript automation framework • Design and maintain page objects, reusable page-element components, fixtures, selectors, reporting, and test data management • Establish and enforce strong test-design standards and architectural consistency • Support portability and scalability of the framework across multiple engagements • Strong hands-on experience with Playwright and TypeScript test automation architecture • Proven experience building and evolving automation frameworks from scratch • Deep understanding of scalable E2E testing design patterns and framework organization • Experience working with AI coding agents such as Cursor, Claude Code, or similar tools • Strong analytical skills with the ability to validate and challenge AI-generated outputs • Experience defining methodologies, playbooks, standards, or reusable engineering practices • Excellent communication and stakeholder management skills • Ability to work in customer-facing advisory and consulting environments • Upper-Intermediate level of English WILL BE A PLUS: • Experience building AI-native QA or engineering workflows • Knowledge of token optimization and AI operational economics • Experience leading or scaling QA/automation practices • Understanding of SDLC transformation and quality engineering strategy • Experience working in consulting or multi-client delivery environments