Principal AI-Augmented Test Automation Engineer

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• 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 code, architecture decisions, reports, rules, and testing artifacts • Identify systemic issues, false positives, broken contracts, redundant logic, and inefficient implementations • Trace issues to root causes and define corrective actions at the appropriate system layer • Improve the reliability and quality of AI-assisted engineering workflows • Define principles and guardrails for AI usage in test automation • Work with AI coding agents and structured prompting approaches to optimize engineering workflows • Improve prompts, skills, layered rules, and framework integrations • Optimize token usage and cost efficiency while maintaining delivery quality • Own and evolve a scalable Playwright and TypeScript automation framework • Design and maintain page objects, reusable page-element components, fixtures, selectors, reporting, and test data management • Establish and enforce test-design standards and architectural consistency • Support framework portability and scalability across multiple engagements

🎯 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 with AI coding agents such as Cursor, Claude Code, or similar tools • Strong analytical skills 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 • Experience building AI-native QA or engineering workflows is a plus • Knowledge of token optimization and AI operational economics is a plus • Experience leading or scaling QA/automation practices is a plus • Understanding of SDLC transformation and quality engineering strategy is a plus • Experience in consulting or multi-client delivery environments is a plus