Ai Agent Architect

SimpleCiti Companies • Garden City, NY

1d

About The Position

This role involves designing, implementing, and deploying fully autonomous AI agents capable of executing workflows across various functions. The primary output will be production-grade agents that can perform tasks, make decisions, and interact with digital environments with minimal human intervention. The architect will be responsible for building end-to-end agent systems, encompassing input ingestion, reasoning, tool execution, memory, and output. A key aspect is developing agents that are adaptable across multiple domains and use cases without requiring complete rebuilds. The position requires creating scalable, modular architectures for rapid agent deployment, implementing persistent memory systems, decision-making loops, and execution layers to ensure independent, reliable, and controlled agent operation. Integration of agents with internal and external systems for data interaction (read, write, analyze, act) is crucial. The role also includes implementing monitoring, logging, and optimization systems to manage performance, cost, and accuracy, alongside continuous improvement of agent capabilities through increased autonomy, reduced failure points, and faster execution. Finally, the architect will contribute to internal frameworks for standardizing agent deployment and scaling.

Requirements

• Has previously built and deployed at least one fully functional AI agent end-to-end
• Strong experience working with APIs, CLIs, MCPs, and external tool integrations
• Deep understanding of LLMs, reasoning patterns, and tool-use orchestration
• Ability to connect agents to real systems and enable execution across environments
• Proficiency in Python and system-level integrations
• Experience with memory systems, retrieval mechanisms, and context handling
• Ability to operate in production environments with reliability and performance focus

Nice To Haves

• Experience with multi-agent systems and orchestration frameworks
• Experience building automation pipelines and execution layers
• Familiarity with vector databases and retrieval systems
• Experience working with real-world toolchains and system integrations
• Ability to translate workflows into autonomous agent behavior

Responsibilities

• Design, implement, and deploy fully autonomous AI agents that execute workflows across a wide range of functions.
• Build end-to-end agent systems including input ingestion, reasoning, tool execution, memory, and output.
• Develop agents that operate across multiple domains and adapt to new use cases without requiring full rebuilds.
• Create scalable, modular architectures that enable rapid deployment of agents for different applications.
• Implement persistent memory systems, decision-making loops, and execution layers that allow agents to function independently while maintaining reliability and control.
• Integrate agents with internal and external systems so they can read, write, analyze, and act across platforms.
• Implement monitoring, logging, and optimization systems to ensure performance, cost control, and accuracy.
• Continuously improve agent capabilities by increasing autonomy, reducing failure points, and improving execution speed.
• Contribute to internal frameworks that standardize how agents are deployed and scaled.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed