Lead AI Automation Engineer

Overview

• Job :

• Location Name: CA-FSC SF Off

• Address: 350 Mission St, 20th Floor, San Francisco, CA 94105, United States (US)

• Job Type: Full Time

• Position Type:
Regular

• Job Function:
Information Technology

• Remote Eligible:
Hybrid Schedule

Company Overview

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. Every day, our teams across the world bring to life our purpose: to expand the way the world sees beauty by empowering the Extra Ordinary in each of us. We are united by a common goal - to reimagine the future of beauty.

The Opportunity

Technology

Our technology team works fast and smart. With San Francisco as our home, we take bringing new tech to market seriously. We love what we do, and we have fun doing it. The Technology group is comprised of motivated self-starters and true team players who are integral to the growth of Sephora and our future success.

Your role at Sephora

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 will focus on designing, developing, and implementing AI-powered solutions that enhance quality, accelerate delivery, and transform how engineering teams build, test, and release products.

As a Lead AI Automation Engineer, you will:

• Partner with engineering, Dev Ops, and product teams to introduce intelligent, autonomous quality engineering practices that shift-left and shift-right quality across the lifecycle.

• Serve as both a strategic thought lead and hands-on technical expert in applying Agentic AI to the SDLC life cycle from requirements, build, testing, defect prevention, and observability.

• Define the next era of end to end development where autonomous, intelligent systems help scale quality, reduce human toil, and enable faster, safer software delivery.

• Directly influence how engineering teams adopt AI responsibly and effectively to achieve higher velocity and quality.

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 Dev Ops 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

We re excited about you if you have:

• 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/Dev Ops workflows.

• 5+ years of experience with cloud platforms (AWS, Azure, GCP) and AI/ML toolkits (Lang Chain, Llama Index, Hugging Face, OpenAI APIs, etc.).

• 8-12 years of experience/knowledge of observability tools (Dynatrace, Datadog, Splunk, Grafana, etc.) and CI/CD systems (Jenkins, Git Hub Actions, Git Lab, Azure Dev Ops).

• Nimble skillset and flexible with regards to changing priorities & business need

• Demonstrated ability to develop strong alliances with those outside of your immediate organization

• Prior experience in managing globally distributed high performing teams

• Strong…