AI Engineering Lead

SKIMS

Lead AI Engineer at SKIMS creating enterprise-grade AI solutions for innovative apparel. Collaborate with teams to deliver impactful AI-powered products and drive measurable business outcomes.

Posted 6/24/2026full-timeLos Angeles • California • 🇺🇸 United StatesSenior💰 $225,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsERPOraclePython

About the role

Key responsibilities & impact

Lead the architecture, design, development, and deployment of scalable AI applications and agentic workflows using Python and modern AI frameworks.
Drive technical strategy and best practices for building reliable, secure, and high-performance AI solutions that support critical business operations and growth initiatives
Partner with cross-functional stakeholders to translate business requirements into AI-powered products and lead delivery from ideation through production
Provide technical leadership and mentorship to engineers, fostering engineering excellence and continuous learning across AI initiatives
Develop and maintain integrations with AWS Bedrock, enterprise systems, APIs, and cloud-native architectures
Establish standards for model evaluation, cost optimization, monitoring, governance, and observability across AI systems
Lead the design and implementation of multi-agent systems using frameworks such as LangGraph, LangChain, MCP, or similar technologies
Champion AI-assisted development tools and modern engineering practices to improve productivity, software quality, and delivery velocity
Contribute to architecture reviews, technical roadmaps, documentation, testing, deployment, and continuous improvement initiatives

Requirements

What you’ll need

8+ years of software engineering experience with recent experience leading enterprise AI initiatives from concept through production.
Proven experience leading the design, development, and deployment of enterprise AI solutions at scale, including large cross-functional initiatives.
Strong understanding of LLM fundamentals, including model training concepts, fine-tuning, evaluation, RAG, and agentic workflows.
Expert-level hands-on experience building AI applications using Python.
Experience with Anthropic Claude models, Claude Code, and AI-assisted software development workflows.
Experience deploying and managing models through AWS Bedrock.
Familiarity with AI observability and evaluation platforms such as Langfuse
Experience building multi-agent systems using frameworks such as LangGraph, LangChain, MCP, or similar technologies
Strong software engineering background with API development, distributed systems, and cloud-native architectures
Experience integrating AI solutions with enterprise systems (ERP, Oracle, Snowflake, internal APIs)
Demonstrated ability to evaluate model performance, optimize costs, and establish AI governance and monitoring practices
Proven track record of identifying AI opportunities, delivering production-ready solutions, and driving adoption across business functions
Security-first mindset with experience designing AI solutions that meet enterprise requirements for security, privacy, governance, compliance, and auditability
Ability to influence technical and non-technical stakeholders and drive alignment across multiple organizations
Passion for software craftsmanship, maintainable system design, testing, observability, and continuous improvement

Benefits

Comp & perks

Up to 100% Company Paid Healthcare (medical, dental, vision)
Kind Body Fertility Benefits
401(k) savings plan with up to 4% match
Unlimited PTO
Full Access to LinkedIn learning
Employee Discounts
Free weekly catered lunch at HQ – M/T/W/Th
Dog-Friendly office on a Thursday and Friday
Free Swag Giveaways
Annual Holiday Party
Annual Summer Party
Invitations to pop-ups and other company events
Complimentary daily office snacks and beverages

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAI frameworksmodel trainingfine-tuningevaluationRAGmulti-agent systemsAPI developmentdistributed systemscloud-native architectures

Soft Skills

technical leadershipmentorshipcross-functional collaborationinfluencealignmentcontinuous learningsoftware craftsmanshipcommunicationproblem-solvingadaptability