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Large Language Model Architect

Accenture

·

Jun 23, 2026

Location
Bengaluru, BDC14A, India
Type
Full-time
Department
Engineering
Experience
15+ 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 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Lead applied AI research and convert emerging advances into production-ready capabilities, reusable intellectual property, and differentiated client offerings.
Expert ability to evaluate and institutionalize emerging tools such as OpenAI Codex, Claude Code, Cursor, GitHub Copilot, Hugging Face, Weights & Biases and LangSmith, selecting them based on experimental rigor, reproducibility, security, cost and production-transfer potential.
Must demonstrate applied research that has materially influenced deployed AI products or platforms. Purely academic leadership or prototype-only experimentation is not sufficient.

Roles & Responsibilities:
- Define the applied research agenda across agentic AI, reasoning, memory, evaluation, multimodal systems, and enterprise AI.
- Select high-value research problems aligned with business and client priorities.
- Lead rapid experimentation with clear transition criteria from research to engineering.
- Build reusable algorithms, frameworks, benchmarks, and reference architectures.
- Partner with engineering teams to productionize validated research.
- Establish reproducibility, security, responsible AI, and research-quality standards.
- Build external thought leadership through patents, publications, partnerships, and open source where appropriate.

Professional & Technical Skills:
- Modern machine learning, foundation models, agentic systems, and evaluation.
- Track record of converting research into scalable production systems.
- Model behavior analysis, experimental validity, latency, cost, robustness, and feasibility.
- Leadership of senior researchers and engineers.

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

Machine LearningGitHub

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