Large Language Model Architect
Quick Summary
- Define the applied research agenda across agentic AI, reasoning, memory, evaluation, multimodal systems, and enterprise AI.
15 years full time educationSummary: Lead applied AI research and convert emerging advances into production-ready capabilities, reusable intellectual property, and differentiated client offerings.
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
Visit us at www.accenture.com
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.
Location & Eligibility
Listing Details
- Posted
- September 22, 2026
- First seen
- September 29, 2026
- Last seen
- October 6, 2026
Posting Health
- Days active
- 7
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- October 7, 2026
Signal breakdown
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