AI Software Developer

Role Description & Responsibilities

Dassault Systèmes SOLIDWORKS is dedicated to helping our customers innovate with 3D design and cloud-connected product development. The Quality Assurance organization plays a critical role in protecting the SOLIDWORKS brand by finding issues before they reach customers. We are looking for an AI Software Engineer to build internal tools and automation that make QA more efficient, data-driven, and focused on preventing regressions in SOLIDWORKS desktop and cloud offerings.

In this role you will design, implement, and maintain infrastructure and AI-powered solutions that improve how we detect problems, analyze test results, and prioritize customer-impacting risks. You will work closely with QA engineers, automation teams, and product stakeholders to shape the automation framework and extend quality practices across SOLIDWORKS cloud products.

• Assist the QA department in developing AI tools that increase efficiency, including AI agents that create manual test plans for new development and enhance test plans for existing functionality.

• Develop AI-assisted workflows to convert manual test plans (including those generated with AI) into automated tests that run continuously in our CI pipelines.

• Identify and implement practical solutions—websites, internal tools, agents, databases, and integrations—that improve departmental efficiency and visibility into quality trends.

• Design and maintain infrastructure that strengthens QA’s ability to detect problems early and use data to sharpen focus on customer-impacting issues before release.

• Contribute to the evolution of the automation framework and quality strategy for SOLIDWORKS cloud products.

• Provide automated solutions for QA teams when needed, delivering with a high level of quality, stability, and performance.

• Continuously improve product quality for the SOLIDWORKS brand in line with customer needs and expectations; apply AI wherever it meaningfully improves outcomes.

Qualifications

• Fundamental knowledge of AI and/or Machine learning with a focus on deploying agents to many users that solve problems and increase productivity.

• Strong programming skills in C# or Java

• Familiarity with CI tools such as Jenkins

• Strong knowledge of scripting languages like PowerShell, Python, or JavaScript

• Experience in working with Machine Learning

• Experience in working with test frameworks

• Experience with API testing

• Knowledge of SCM tools like GIT

• Willingness to learn new technology to support the job

• Team Player, Problem solver, Creative, Accountable, Highly motivated

• Strong communication skills and Excellent time management