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:
Machine Learning (ML) Good to have

skills:
Snowflake Data Warehouse, Microsoft Azure Data Services, Amazon Web Services (AWS) Minimum 12 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 will focus on creating neural network configurations that efficiently process vast amounts of unstructured text data. Your role includes conceptualizing innovative architectures that enhance the model's ability to interpret and produce natural language, ensuring the systems are scalable and adaptable to various applications. Collaboration with cross-functional teams to align model capabilities with project goals is a key part of your daily activities, alongside continuous evaluation and refinement of model performance to meet evolving requirements. Roles &

Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of model architectures that address complex language processing challenges.




- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to ensure alignment of model design with business objectives and technical feasibility. Professional & Technical

Skills:
- Must To Have

Skills:
Proficiency in Machine Learning (ML).
- Experience in designing and optimizing neural network architectures for natural language processing tasks.
- Strong understanding of large-scale data processing and model training techniques.
- Familiarity with model evaluation metrics and methods to improve language model accuracy and efficiency.
- Ability to work with unstructured text data and implement preprocessing pipelines.
- Skilled in integrating machine learning models into production environments. Additional Information:
- The candidate should have minimum 12 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations,



accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent
- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with robust ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

📌 Large Language Model Architect (Bengaluru)
🏢 Accenture
📍 Bengaluru