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. Your responsibilities will involve translating business roadmap into technical requirements and architecture, applying natural language processing (NLP) and machine learning concepts, and designing neural network parameters to enhance model capabilities. 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, providing design recommendations and hands-on implementation and troubleshooting support. - Estimate the effort, time, and cost required for deploying an end-to-end solution using LLMs. 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, and architect components to address Responsible AI & Security. - Collaborate with diverse, cross-functional teams to identify and prioritize requirements accurately, ensuring the language model meets various stakeholders" needs and expectations. - Create and maintain comprehensive technical documentation that captures intricate details of the technical architecture, language model, efficient troubleshooting, and future development and maintenance. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Proven experience in designing and implementing AI architecture, with a focus on natural language processing (NLP) and machine learning. - Strong knowledge of neural network parameters and large language models (LLMs). - Hands-on experience in implementing and troubleshooting generative AI solutions. - Excellent communication and collaboration skills to work effectively with cross-functional teams. - Ability to analyze performance metrics, provide design recommendations, and estimate project requirements accurately.,