Generative Ai Jobs in Remote, OR (NOW HIRING)

Job Description:

Artificial and Large Language Model Architect 

Job Description

As an AI & LLM Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions. You will translate business roadmaps into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning. You will architect sophisticated large language models (LLMs) with the remarkable ability to process and generate natural language. Additionally, you will have the opportunity to design neural network parameters, leveraging extensive amounts of unlabeled text data, to further enhance the model's capabilities.
Job Details:

• Architect and design end to end Generative AI products, applications and solutions for specific business needs and provide implementation guidance during delivery.
• Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the overall quality Gen AI products, applications and systems.
• Analyze and evaluate the performance of Gen AI systems and provide design recommendations.
• Estimate the effort and time required for deploying an end-to-end solution using LLMs.
• Estimate cost of using LLMs in different forms for business use cases and the viability, develop cost models for different usage patterns.
• Analyze and make right technological choices for generative ai solutions.
• Design and prototype reusable components for LLM based solution patterns.
• Architect components of an LLM solution to address Responsible AI & Security.
• Design LLM Ops solutions for large scale operationalization.

What you need:

• Experience in designing & deploying AI / ML solutions using various cloud vendors.
• Experience in the LLM and Generative AI space.
• Experience architecting and operationalizing LLM driven application architecture patterns.