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Autodesk

Senior QA Automation Engineer – AI Applications

Posted 12 Hours Ago
In-Office or Remote
Hiring Remotely in Ontario, ON, CAN
Senior level
In-Office or Remote
Hiring Remotely in Ontario, ON, CAN
Senior level
Design, build, and maintain automated test suites, evaluation scenarios, and CI/CD quality gates for AI-powered applications. Test APIs, validate ML model outputs, create measurable evaluation rubrics, mentor teams, and contribute to shared QA frameworks and codebases.
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Job Requisition ID #

26WD99661

Senior QA Automation Engineer – AI Applications 

 

We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset. 

 

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. 

 

Minimum Qualifications 

  • 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. 

Preferred Qualifications 

  • Experience testing AI/ML applications or validating machine learning models. 

  • Experience with data validation tooling (e.g., Great Expectations) or labeling workflows. 

  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow). 

  • Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow). 

  • Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation). 

  • Knowledge of ML evaluation methods, metrics, and benchmarking. 

  • Passion for learning new technologies and improving existing systems. 

  • Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform). 

  • Experience testing AI/ML services in production environments. 

  • Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases). 

The Ideal Candidate 

  • You demonstrate initiative to provide solutions and to learn and develop new technologies. 

  • Comfortable building QA systems from scratch and writing maintainable automation. 

  • You enjoy learning and collaborating across global locations. 

  • You are comfortable working in newly forming ambiguous areas. 

  • You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others. 

  • You effectively leverage AI-powered tools to improve testing workflows and engineering productivity. 

  • You can communicate well with others. 

 

 

 

 

Learn More

About Autodesk

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