AI Agent Architect

Experienced AI Agent Architects will find a full-time remote opportunity focused on designing and building reliable AI agent workflows, integrating foundation models, and defining standards for agent reliability in production environments. Key responsibilities Design and build architecture for AI agent workflows, including planning loops and human-in-the-loop checkpoints Evaluate and integrate foundation models and LLM APIs tailored for enterprise use cases Define standards for agent reliability, observability, and failure modes in production deployments Required qualifications 6-10 years of experience building production AI or data systems that operate reliably at scale Deep hands-on experience with multi-agent architectures and context management Strong proficiency in Python and familiarity with agent frameworks like LangChain or LlamaIndex Practical experience with RAG architectures and vector databases in production settings Experience deploying LLM-powered systems in enterprise contexts, including data security and audit logging