обновлено 6 часов назад
Test Automation Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Test Automation Engineer (AI) (QA Automation): Designing and executing test strategies for automation workflows, low-code applications, and AI agent solutions with an accent on functional, regression, integration, and responsible AI testing. Focus on validating non-deterministic outputs, accuracy, consistency, safe failure behavior, and edge-case handling before release.
Location: Multiple locations; hybrid
Company
provides technology advisory, enterprise solutions, managed services, product development, and software development through a global community of specialists.
What you will do
- Define test strategies and test cases covering functional, regression, integration, and exception scenarios.
- Test automation workflows, low-code applications, and AI agent outputs against acceptance criteria.
- Validate AI agents for accuracy, consistency, safe failure behavior, and edge-case handling.
- Log, triage, and track defects with AI Engineers and the Solution Architect through resolution.
- Own formal QA sign-off before release and support post-go-live monitoring where required.
- Contribute quality and defect data to the E2E Summary Dashboard for cross-client reporting.
Requirements
- Senior-level QA or test engineering experience in automation, low-code, or AI delivery environments.
- Hands-on experience with Python.
- Familiarity with Playwright and automated testing with TypeScript.
- Practical experience testing AI or agentic systems, including non-deterministic outputs and statistically robust validation.
- Knowledge of test management, defect tracking, and Jira integration.
- Upper-intermediate English required. Understanding of responsible AI governance, including bias, safety, and escalation behavior.
Nice to have
- Knowledge of KQL for analyzing outputs and logs in Azure Log Analytics.
- Experience testing Microsoft Power Platform and Power Automate solutions.
- Knowledge of Microsoft Copilot Studio and AI agents in the Microsoft ecosystem.
Culture & Benefits
- Hybrid work across multiple locations.
- Equal opportunities in recruitment, career development, and leadership.
- Inclusive environment shaped by people from diverse backgrounds and experiences.
Hiring process
- Application review followed by a Talent Acquisition interview.
- Technical interview focused on expertise, problem-solving, and approach.
- Customer interview may be included, followed by an offer and onboarding.
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