AI Engineering Lead

SKIMS

Los Angeles (CA)

On-site

USD 225,000 - 250,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Up to 100% Company Paid Healthcare

401(k) savings plan with match

Unlimited PTO

Free weekly catered lunch

Job summary

SKIMS in Los Angeles is seeking an AI Engineering Lead to spearhead the development of scalable AI solutions. In this pivotal role, you will provide leadership in designing and deploying innovative AI-powered products that enhance business operations.

Ideal candidates will have over 8 years of software engineering experience, particularly in enterprise AI initiatives, and a strong command of Python. Benefits include company-paid healthcare and unlimited PTO.

Qualifications

8+ years of software engineering experience with AI initiatives.
Proven experience in leading design and deployment of enterprise AI solutions.
Expert-level experience in building AI applications using Python.

Responsibilities

Lead architecture, design, and deployment of AI solutions.
Drive technical strategy for AI applications.
Develop integrations with AWS Bedrock and enterprise systems.

Skills

Software engineering experience

AI solutions development

Python programming

API development

Security-aware design

Tools

AWS

LangGraph

LangChain

MCP

Job description

AI Engineering Lead

Department: Technology

Employment Type: Full Time

Location: Los Angeles HQ

Compensation: $225,000 - $250,000 / year

Description

SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.

At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.

As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets. We are looking for a talented Lead AI Engineer to help define, design, build, and deploy enterprise-grade AI solutions that drive meaningful business outcomes. In this role, you will provide technical leadership for AI initiatives, mentor engineers, and partner closely with product managers, business stakeholders, and engineering teams to deliver AI-powered products from concept to production, driving adoption, and measurable business impact at scale.

Key Responsibilities

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

Skills, Knowledge and Expertise

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