LLM & RAG Solutions Architect - Remote

Overview

The LLM & RAG Solutions Architect at BlackStone eIT will be responsible for designing and implementing solutions that leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. This role focuses on creating innovative solutions that enhance data retrieval, natural language processing, and information delivery for our clients.

In Short

• Develop architectures incorporating LLM and RAG technologies.
• Collaborate with data scientists, engineers, and business stakeholders.
• Design workflows integrating LLMs with existing data sources.
• Evaluate and select tools for LLM and RAG solutions.
• Conduct research on emerging trends in LLMs and RAG.
• Ensure scalability, security, and performance of implementations.
• Provide technical leadership and mentorship.
• Develop and maintain documentation on architectures and processes.
• Engage with clients to communicate technical strategies.
• Monitor and troubleshoot implementations.

Requirements

• Experience with LLM and RAG technologies.
• Strong background in data retrieval and natural language processing.
• Proficiency in architectural design and implementation.
• Ability to collaborate effectively with various stakeholders.
• Knowledge of emerging trends in AI and machine learning.
• Excellent communication and leadership skills.
• Experience in developing technical documentation.
• Ability to troubleshoot and optimize implementations.

Benefits

• Opportunity to work on innovative projects.
• Collaborative work environment.
• Professional development and growth opportunities.
• Access to cutting-edge technologies.
• Flexible working arrangements.