Overview We are seeking an experienced Lead AI Automation Engineer with deep interest and expertise in Agentic AI, Generative AI, and automation frameworks to drive innovation in our software development lifecycle (SDLC). This role focuses on designing, developing, and implementing AI-powered solutions that enhance quality, accelerate delivery, and transform how engineering teams build, test, and release products. Your role at Sephora Lead AI Automation Engineer responsible for applying Agentic AI to the SDLC from requirements through observability, and for shaping the end-to-end development of autonomous, intelligent systems that scale quality, reduce toil, and enable faster, safer software delivery. Responsibilities Provide hands-on technical expertise, guidance, and mentorship to develop Agentic AI-driven quality solutions across multiple SDLC phases. Design and implement AI agents to autonomously analyze requirements, generate code, generate test scenarios, create/maintain automated test scripts, and identify gaps, risks, and potential defects early in the cycle. Partner with DevOps and SRE teams to integrate AI-driven quality checks into CI/CD pipelines. Develop AI agents for code reviews, security scans, performance optimization, and monitor production environments for anomaly detection and self-healing recommendations. Lead innovation pilots and POCs, evaluating emerging AI/ML tools, and recommend scalable adoption strategies. Establish and maintain MLOps practices for the AI lifecycle (model training, deployment, monitoring, and governance) and automate processes across the engineering pipeline. Coach and mentor technical teams on leveraging Gen AI and Agentic AI for productivity and quality improvements. Qualifications 5+ years of deep understanding of GenAI models (Transformers, GPT, BERT, diffusion models), Agentic AI concepts (LLM orchestration, autonomous agents, RAG, prompt engineering, vector DBs), and AI/ML toolkits to solve quality engineering challenges. 5+ years of proven experience applying AI/ML or GenAI solutions to Develop/QE/DevOps workflows. 5+ years of experience with cloud platforms (AWS, Azure, GCP) and AI/ML toolkits (LangChain, LlamaIndex, HuggingFace, OpenAI APIs, etc.). 8-12 years of experience/knowledge of observability tools (Dynatrace, Datadog, Splunk, Grafana, etc.) and CI/CD systems (Jenkins, GitHub Actions, GitLab, Azure DevOps). Strong communication, leadership, and stakeholder management skills; ability to work effectively with technical and non-technical staff. Prior experience in managing globally distributed high-performing teams; mentoring others and contributing to career growth. Location and Schedule Location: San Francisco, CA area (Hybrid); Job Type: Full Time; Position Type: Regular; Remote Eligible: Hybrid Schedule. Compensation and Benefits The annual base salary range for this position is $173,610.00 - $192,900.00. The actual base salary offered depends on factors including qualifications, experience, skills, education, certifications, and geographic location. Bonuses may be eligible. Sephora offers a comprehensive benefits package, including health, dental, and vision plans; 401(k); paid time off; employee discount/perks; life and disability insurance; flexible spending accounts; and an employee referral bonus program. Equal Opportunity Sephora is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, disability status, or other protected statuses. Sephora is committed to reasonable accommodation for applicants with disabilities. Sephora will consider qualified applicants with criminal histories in a manner consistent with applicable law. Sephora – About Us At Sephora we inspire our customers, empower our teams, and help them become the best versions of themselves. We create an environment where people are valued and differences are celebrated. Our Technology group drives innovation and collaboration across the organization.

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