Large Language Model Architect
Accenture - Pune
Still listed by Accenture · checked today · posted 12 Oct 2026 (today)
**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 15 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. Collaboration with various teams to align the model design with project goals and continuous refinement of model parameters to enhance natural language processing capabilities are key aspects of the daily workflow. The role demands a strategic approach to developing innovative solutions that push the boundaries of language understanding technology.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- 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 scalable language model architectures that meet evolving project requirements.
- Mentor and guide junior team members to foster skill development and knowledge sharing within the team.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Strong expertise in designing and tuning neural network architectures for natural language processing tasks.
- Experience with handling and processing large-scale unlabeled text datasets to train language models effectively.
- Ability to optimize model parameters to improve accuracy, efficiency, and generalization of language models.
- Familiarity with state-of-the-art techniques in language model training, including transfer learning and unsupervised learning methods.
- Capability to collaborate with cross-functional teams to integrate language models into broader AI systems.
Additional Information:
- The candidate should have minimum 15 years of experience in Large Language Models (LLMs).
- This position is based at our Pune 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.