SR. Data Platform Engineer

Primary Responsibilities:

- Design and manage scalable, secure, and resilient solutions on Azure openAI service and AWS cloud to support organizational objectives.

- Architect solutions for Azure OpenAI services and AWS cloud infrastructure, ensuring cost saving and high performance.

- Lead migration of traditional AI services to leverage openai and LLMS and AWS, using appropriate services.

- Employ cost management strategies for cloud spending optimization.

- Provide infrastructure resources and guidance for effective application building on openAI and LLM's and AWS.

- Incorporate DevOps practices into AI/ML cloud infrastructure for CI/CD pipeline efficiency.

- Diagnose and resolve complex cloud issues to maintain high service levels.

- Offer persistent technical support and advisement to development teams.

Secondary Responsibilities:

- Provide strategic guidance on GenAI solution architecture with the latest design patterns.

- Develop and scale Azure openAI/GenAI applications, focusing on LLMs for innovation.

- Serve as GenAI infrastructure advisor for AI-centric applications.

- Stay updated with LLM application design patterns for scalability and efficiency.

- Lead educational initiatives on GenAI and LLM technologies.

Additional Qualifications and Experiences:

- Experience with proof of concept (POC) development for GenAI applications and LLMs.

- Design of machine learning applications and frameworks using GenAI and LLMs.

- Proficiency in data platforms for scalable AI and ML model deployment.

- Hands-on experience with Data Engineering, analytics, and AWS Cloud services.

- Hands-on experience with Google Cloud Platform will be an added benefit.

- Experience with CI/CD tools, scripting, and automation.

As a Solution Architect at Hyatt:

- Work on the creating and support of Hyatt's Enterprise Data Platform.

- Shape and build new analytical solutions to deploy in support of internal clients.

- Create AI/ML, Analytics solutions to drive the next wave of innovation.

- Recommend tools and new capabilities based on research of the current environment.

- Inform strategy and architecture design working with engineering and migration teams.

- Stay on top of the latest Cloud resources and lead efforts to prototype new technologies.

- Develop critical systems for internal clients and manage data with Cloud technology.

- Join a hands-on, highly visible team passionate about data and positioned for growth.

- Provide expert guidance to ensure alignment with Hyatt architecture and standards.

- Design and develop enterprise data solutions leveraging advanced data technologies.

- Implement solutions for data migration, data delivery, and ML pipelines.

- Build resilient, secure Data Platforms and Applications.