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