Job Description
ole Overview
Sephora is expanding its AI‑driven automation strategy across engineering and quality functions. The AI Engineer will support the Quality Engineering (QE) organization by designing and implementing AI‑powered workflow automations that improve test effectiveness, reduce manual effort, and streamline QE processes.
This role is pod‑aligned but not tied to a single project. You will work across multiple pods and teams to identify repeatable QE opportunities, prototype AI‑enabled solutions, and operationalize them into the delivery lifecycle.
Work split:
70% AI consulting / solution design & workflow automation
30% hands‑on testing, validation, and QE execution
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
Must‑Have Skills & Experience
Strong Python engineering skills with experience building automation or frameworks
Hands‑on AI skills (applied AI/ML concepts, LLMs, agents, or AI‑assisted automation)
Quality Engineering / Test Automation background
Experience integrating automation into CI/CD pipelines
Ability to collaborate across multiple teams and translate QE needs into scalable AI solutions
Nice‑to‑Have
Retail or e‑commerce domain experience
Exposure to AI agent frameworks or LLM evaluation techniques
Familiarity with common QE tools and modern automation frameworks
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.