Senior QA Automation Engineer – AI Applications

Autodesk

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

Posted 6/27/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$84,000 - CA$123,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

The ideal candidate must demonstrate expertise in automated testing and quality assurance for AI-powered applications, along with strong collaboration and mentoring abilities to uphold quality standards across teams.

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTest AutomationAPI TestingAI/ML Applications TestingCI/CDQuality Strategy DefinitionTest Framework DesignRegression TestingIntegration TestingEvaluation Metrics

Soft Skills

Problem-SolvingAttention to DetailCommunicationCollaborationMentoringConstructive Feedback

Tools & Technologies

GitHub ActionsJenkinsAI-Powered Testing ToolsCAD Environments

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering

Industry Keywords

Quality AssuranceTest SuitesAgile DevelopmentSoftware ArchitectureDesign Patterns

Tech Stack

Tools & technologies

JenkinsPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Annual cash bonuses
Commissions for sales roles
Stock grants
Comprehensive benefits package