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SEPHORA · 2 weeks ago

Lead AI Automation Engineer

San Francisco, CA

Full-time

Hybrid

Lead/Staff

$174K/yr - $193K/yr

10+ years exp

Sephora is a leading beauty retailer that inspires customers and empowers teams. They are seeking a Lead AI Automation Engineer to design, develop, and implement AI-powered solutions that enhance quality and accelerate delivery in the software development lifecycle.

BeautyCosmeticsE-CommerceRetail

H1B Sponsor Likely

Responsibilities

Architect, build, maintain, and improve end-to-end SDLC – AI Agents

Implement end-to-end solutions for automated testing, performance testing and A/B testing

Collaborate with Product, PMO, Engineering, and DevOps on planning new capabilities

Establish scalable, efficient, automated processes for data analysis, model development, validation, and implementation

Write efficient and well-organized software to ship products in an iterative, continual-release environment

Actively participate in code review and test solutions to ensure it meet best practice specifications

Write efficient and well-organized software in an iterative, continual-release environment

Actively participate in code review and test solutions to ensure it meets best practice specifications

Contribute to and promote good software engineering practices across the team

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

Qualification

Agentic AIGenerative AIAI/ML solutionsMLOps practicesPythonSQL databasesNoSQL databasesCloud platformsDatabricksDeep learning frameworksStakeholder managementCommunicationLeadership skills

Required

10 years of experience in the Software engineering space

3+ years of proven experience applying AI/ML or GenAI solutions to Develop workflows

Deep understanding of LLM models, Agentic AI concepts (LLM orchestration, autonomous agents, RAG, prompt engineering, vector DBs), and AI/ML toolkits to solve quality engineering challenges

Experience working with a variety of relational SQL and NoSQL databases

Experience working with: Hadoop, Spark, Kafka, Scala, Python, etc

Knowledge of cloud platforms, Experience with Azure, AWS or equivalent cloud platforms

Hands-on Experience working with Databricks

Experience with deep learning frameworks such as PyTorch, TensorFlow, Keras or similar

Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc

Industry experiences building and productionizing creative end-to-end Machine Learning systems

Experience with building and operationalizing a feature

Experience working with distributed systems, service-oriented architectures, and designing APIs/ API Graph

Experience using opensource LLMs

Knowledge of data pipeline and workflow management tools

Experience in standard software engineering methodology, e.g. Functional testing, test automation, continuous integration, defect root cause analysis, code reviews, and design documentation

Excellent communication and interpersonal skills, including the ability to work effectively with technical and non-technical staff

Strong leadership and stakeholder management skills

Benefits

Comprehensive health, dental and vision plans

A superior 401(k) plan

Various paid time off programs

Employee discount/perks

Life insurance

Disability insurance

Flexible spending accounts

An employee referral bonus program

Company

SEPHORA

Glassdoor3.7

Sephora is an online shopping site that offers a range of beauty products such as cosmetics and skincare items.

Founded in 1969

Neuilly-sur-seine, Ile-de-France, FRA

10001+ employees

https://www.sephora.com

H1B Sponsorship

SEPHORA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (37)

2024 (49)

2023 (69)

2022 (49)

2021 (29)

2020 (32)