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Large Language Model Architect

Accenture

·

Jun 19, 2026

Location
Mumbai, MDC2B, India
Type
Full-time
Department
Engineering
Experience
12+ years
Source
Workday

Description

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)
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Large Language Model Architect, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires envisioning the architecture of neural networks that process vast amounts of unstructured text data, ensuring the models are optimized for performance and scalability. The workday includes collaborating with various teams to align model capabilities with project goals, continuously refining model parameters, and overseeing the integration of these models into broader systems to enhance natural language processing applications.

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 innovative strategies to improve model efficiency and accuracy.
- Mentor junior team members by providing guidance and support to foster their professional growth.
- Coordinate cross-functional efforts to ensure seamless integration of language models into various applications.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Strong knowledge of neural network architectures and deep learning frameworks.
- Experience with natural language processing techniques and large-scale data handling.
- Ability to optimize model training processes and manage computational resources effectively.
- Familiarity with model evaluation metrics and techniques to ensure high-quality outputs.

Additional Information:
- The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
- This position is based at our Mumbai 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 strong 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.

Skills

Deep Learning

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