AI Agent Architect

Job Summary

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