What are the responsibilities and job description for the Generative AI Platform Lead position at Skechers?
About the Role
We are looking for a highly skilled Lead Generative AI Engineer to join our team. As a key member of our Software Engineering and Architecture organization, you will be responsible for leading the development and improvement of our Generative AI platform and technologies.
Your primary responsibilities will include designing, developing, and deploying Skechers' Generative AI tools, including privately instanced Large Language Models (LLMs), our private GenAI platform, and GenAI use cases. You will work closely with high-velocity software engineering teams and coordinate across various departments to bring our GenAI capabilities to new heights.
Additionally, you will be responsible for coordinating with cross-functional teams, including security, UI/UX, data integration, architecture, and several business units to integrate and refine our AI solutions. You will also develop and maintain scalable AI pipelines using AWS services such as Bedrock, Sagemaker, Lambda, EC2, and S3.
The successful candidate will have experience with agile methodologies and tools, specifically JIRA by Confluence. They will also be proficient in using AWS CloudFormation and CodeDeploy for CI/CD pipelines. Additionally, they will have a strong command of keyword vector search, retrieval augmented generation (RAG), and GDPR-compliant data handling.
- Familiarity with AI frameworks such as LangChain
- Experience with backend server language Python, Java/Scala a plus
- Web development experience with HTML, CSS, and JavaScript
- Working knowledge of Linux, Windows, SQL and NoSQL database systems (MongoDB), and networking
