Large Language Model Architect

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models (LLMs), Generative AI, Python Frameworks, API Testing, Agentic AI Good to have skills : NA Minimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Large Language Model Architect, your day involves designing and structuring advanced language models capable of understanding and generating human-like text. You focus on creating neural network configurations that efficiently process vast amounts of unstructured text data. Your work includes refining model architectures to enhance performance and scalability, collaborating with various teams to integrate these models into broader applications, and continuously exploring innovative approaches to improve natural language processing capabilities. This role demands a thoughtful balance of creativity and technical insight to build systems that can interpret and generate language with high accuracy and relevance. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have influencing and Advisory skills. - Engage with multiple teams and responsible for team decisions. - Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems. - Lead the development and optimization of large language model architectures to meet evolving project requirements. - Collaborate with cross-functional teams to ensure seamless integration of language models into various platforms and products. - Mentor junior team members by sharing expertise and guiding best practices in model design and implementation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs), API Testing, Python Frameworks, Generative AI, Agentic AI. - Strong understanding of neural network design principles and experience with training models on large-scale unlabeled datasets. - Experience in optimizing model performance and scalability for production environments. - Familiarity with natural language processing techniques and the ability to apply them effectively in model development. - Ability to troubleshoot complex issues related to model behavior and provide innovative solutions. Additional Information: - The candidate should have minimum 15 years of experience in Large Language Models (LLMs). - This position is based at our CDC2F - SEZ office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.