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Large Language Model Architect

Bengaluru, India Full-time
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Added 7 Nov 2026 · Engineering

Job 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 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.
Pay, skills & work eligibility

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Listed work location
Bengaluru, India
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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

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Requirements at a glance

Machine learning

Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.

Location & work arrangement

Listed work locations

  • Bengaluru, India

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