Principal AI-Augmented Test Automation Engineer

Sigma Software

About The Position

We are looking for a Principal AI-Augmented Test Automation Engineer to co-own and scale our AI-native E2E test automation offering. This role involves shaping the engagement model, establishing scalable testing processes, defining AI-driven quality engineering principles, and evolving a reusable Playwright + TypeScript framework. You will work directly with senior stakeholders, helping organizations adopt AI-augmented testing practices while ensuring technical quality, operational efficiency, and sustainable delivery models.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.