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Principal AI-Augmented Test Automation Engineer
Location
Poland
Posted
7 days ago
Salary
0
Seniority
Lead
Job Description
Principal AI-Augmented Test Automation Engineer
Sigma Software Group
• 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
Job 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
- 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
Benefits
- Employees can work remotely
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