Senior QA Automation Engineer at Autodesk working on quality assurance for AI applications. Designing automated test suites and frameworks while collaborating with global teams.
Responsibilities
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.
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.
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