Llm & Rag Solutions Architect
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.
Responsibilities include:
• Develop architectures that incorporate LLM and RAG technologies to improve client solutions.
• Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into effective technical solutions.
• Design and implement workflows that integrate LLMs with existing data sources for enhanced information retrieval.
• Evaluate and select appropriate tools and frameworks for building and deploying LLM and RAG solutions.
• Conduct research on emerging trends in LLMs and RAG to inform architectural decisions.
• Ensure the scalability, security, and performance of LLM and RAG implementations.
• Provide technical leadership and mentorship to development teams in LLM and RAG best practices.
• Develop and maintain comprehensive documentation on solution architectures, workflows, and processes.
• Engage with clients to communicate technical strategies and educate them on the benefits of LLM and RAG.
• Monitor and troubleshoot implementations to ensure optimal operation and address any arising issues.
