AI Architect (LLM & RAG)

We are seeking an experienced AI Architect to design and deliver enterprise-scale Generative AI solutions focused on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
Responsibilities
• Design and implement AI solutions using LLMs and RAG architectures.
• Define AI architecture standards, best practices, and governance.
• Integrate AI applications with enterprise systems, APIs, and data platforms.
• Collaborate with stakeholders to translate business needs into AI solutions.
• Lead technical decisions around model selection, vector search, security, and scalability.

Required Skills
• 5+ years in Software Engineering, Solution Architecture, or Cloud Architecture.
• Hands-on experience with LLMs, RAG, and Generative AI solutions.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, or similar platforms.




• Strong knowledge of Python, APIs, and cloud technologies (AWS, Azure, or GCP).
• Experience with Vector Databases (Pinecone, Weaviate, OpenSearch, pgvector, ChromaDB, etc.).
• Knowledge of LangChain, LangGraph, Semantic Kernel, or similar frameworks.
• Excellent communication and stakeholder management skills.

Nice to Have
• AI governance and responsible AI experience.
• Multi-agent or Agentic AI architectures.
• Experience in regulated enterprise environments.

Keywords: Generative AI, LLM, RAG, AI Architect, GenAI Architect, LangChain, LangGraph, Semantic Kernel, OpenAI, Azure OpenAI, AWS Bedrock, Vector Database, Agentic AI, Python, Cloud Architecture.

📌 AI Architect (Guadalajara)
🏢 Brillio
📍 Guadalajara