Senior QA Automation Engineer – AI Applications

Autodesk

Senior QA Automation Engineer developing automated testing frameworks for AI applications. Ensuring quality, reliability, and performance in scalable and maintainable QA workflows.

Posted 6/29/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and maintaining automated test suites for AI-powered applications, utilizing Python and CI/CD tools to enhance quality assurance processes. Proficient in API testing, evaluation of AI/ML model outputs, and mentoring teams on QA automation best practices.

Highest-signal resume keywords

Python ProgrammingTest AutomationAI-Powered Testing ToolsCI/CD ProcessesAPI Testing

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

Automated Test SuitesQuality Strategy DefinitionUAT Test FrameworksQA Framework DesignAI/ML Application Testing

Soft Skills

Problem-SolvingAttention to DetailCommunicationCollaboration

Tools & Technologies

GitHub ActionsJenkinsCAD Environments

Certifications & Qualifications

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

Industry Keywords

Software Quality AssuranceAgile DevelopmentTest Automation Best Practices

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

comprehensive benefits package