What are the responsibilities and job description for the Generative AI Solutions Architect position at Skechers?
In the field of AI development, Skechers is pushing the boundaries with its innovative approach to creating private, proprietary technologies.
Our objective is to drive continuous innovation and improvement in our Generative AI platform. To achieve this goal, we need skilled professionals like the Generative AI Solutions Architect to lead the design, development, and deployment of our AI tools.
This includes overseeing the creation of privately instanced LLMs, the private GenAI platform, and relevant use cases.
To succeed in this role, you'll require strong technical knowledge of keyword vector search, retrieval augmented generation, and GDPR-compliance.
Familiarity with Python programming and AI frameworks like LangChain is also a necessity. Additionally, your proficiency in agile methodologies, AWS services, and related tools will enable seamless collaboration.
We value individuals with a deep understanding of software development, particularly with Python, Java, Scala, and experience working with DevOps teams on implementing CI/CD pipelines and monitoring/alerting.
