AI Architect

As an AI Architect, you will play a pivotal role in designing and implementing the technology architecture for AI use cases, including Large Language Model (LLM) platform systems and solutions. You will be responsible for translating the business roadmap into technical requirements and architecture, applying natural language processing (NLP) and machine learning concepts, and implementing real-time business use cases. Responsibilities: - Architect and design end-to-end Generative AI products, applications, and solutions tailored to specific business needs. Provide implementation guidance during delivery. - Leverage, customize, and implement available Gen AI models, algorithms, and methodologies to enhance the quality of Gen AI products, applications, and systems. - Analyze and evaluate the performance of Gen AI systems, offering design recommendations. - Provide hands-on implementation and troubleshooting support for Gen AI solutions. - Estimate the effort, time, and cost required for deploying an end-to-end solution using LLMs. - Estimate the cost of using LLMs in various forms for business use cases, assess viability, and develop cost models for different usage patterns. - Make informed 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. - Collaborate effectively with diverse, cross-functional teams to identify and prioritize requirements accurately, ensuring that the language model meets the needs of various stakeholders. - Create and maintain comprehensive technical documentation that captures the technical architecture details, language model intricacies, efficient troubleshooting methods, and future development and maintenance considerations.,