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Senior QA Automation Engineer – AI Applications
Location
United Kingdom
Posted
7 days ago
Salary
0
Seniority
Senior
Job Description
Senior QA Automation Engineer – AI Applications
Autodesk
• Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features • Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage • Create and maintain test harnesses for AI services, applications, and APIs • Perform API testing for AI services and backend systems • Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features • Test AI/ML applications and machine learning models from a product and user perspective • Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior • Define structured rubrics that translate qualitative findings into measurable evaluation gates • Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing • Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications • Contribute to multi-team projects and codebases, ensuring code quality and consistency • Participate in code reviews and provide constructive feedback to peers • Document and present findings and ideas across the company
Job Requirements
- Bachelor’s degree in Computer Science , Engineering, or equivalent experience
- 5+ years of professional experience in software quality assurance, test automation, or software engineering
- Strong programming skills in Python, with experience in test automation
- Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality
- Experience with CI/CD tools and processes
- Familiarity with popular CAD environments and tooling
- Proficient in automation and UAT test suites/frameworks
- Experience designing QA frameworks or platforms used by multiple teams
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
- Understanding of software architecture and design patterns
- Ability to work in an Agile development environment
Benefits
- comprehensive benefits package
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