Large Language Model Architect

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.
  
  
  

• 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.