Job Description
This role focuses on helping companies understand how they’re currently using AI and where they can get more value out of it. You’d lead conversations with customers to learn how their AI setup works today, why they chose certain tools or models, and whether they’re using things like large language models and how those are built and maintained. From there, you’d help turn their goals, like saving time, cutting costs, or improving efficiency, into a clear plan they can actually execute.
A big part of the role is also finding practical ways to use AI within QA teams. You’d guide companies on how to modernize their testing approach by recommending the right tools based on where they are today. For example, helping teams move from older tools like Selenium to newer ones like Playwright, supporting teams transitioning from manual to automated testing with tools like Tosca, or suggesting low-code automation platforms for teams that don’t have deep engineering resources. Overall, the role is about making AI and QA more practical, efficient, and easy to scale in real-world environments.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Hands‑On Technical Skills
• Write, review, and analyze code in languages commonly used in QA automation, including:
○ Java
○ C#
○ Python .
• Formerly a software engineer and moved into QA
• Understand advanced AI concepts such as:
○ LLM architecture
○ Model prompting and fine-tuning
○ Hallucination detection and mitigation strategies
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.