What are the responsibilities and job description for the Cloud Native AI Solutions Architect position at Skechers?
Our company is at the forefront of transforming its engineering practice by embracing cloud native APIs and applications. We are utilizing a modern technology stack that includes serverless, microservices, containers, Boomi iPaaS, QA, and zero-touch delivery pipelines. Moreover, we are enabling our business with AI through the development and adoption of private, proprietary AI technologies.
We are seeking an experienced Lead Generative AI Engineer to join our team. In this role, you will lead the development of Skechers' proprietary Generative AI tools, working closely with high-velocity software engineering teams and coordinating across various departments to bring our GenAI capabilities to new heights. Your responsibilities will include leading the design, development, and deployment of Skechers' Generative AI tools, as well as coordinating with cross-functional teams to integrate and refine our AI solutions.
As a key member of this team, you will develop and maintain scalable AI pipelines using AWS services such as Bedrock, Sagemaker, Lambda, EC2, and S3. You will utilize Amazon Web Services (AWS), Claude LLM, Stable Diffusion, keyword vector search, retrieval augmented generation (RAG), and GDPR-compliant practices in daily tasks. The successful candidate will also implement leading practices in AI model training, testing, and validation.
