Ai Agent Architect

SimpleCITI • Garden City, NY

2d

About The Position

This role involves designing, implementing, and deploying fully autonomous AI agents that execute workflows across a wide range of functions, with the goal of producing production-grade agents capable of performing tasks, making decisions, and interacting with digital environments with minimal human intervention. The position requires building end-to-end agent systems, including input ingestion, reasoning, tool execution, memory, and output, and developing agents that can operate across multiple domains and adapt to new use cases without requiring full rebuilds. Key responsibilities include creating scalable, modular architectures for rapid deployment of agents, implementing persistent memory systems, decision-making loops, and execution layers to ensure independent, reliable, and controlled agent function. The role also entails integrating agents with internal and external systems to enable reading, writing, analyzing, and acting across platforms, as well as implementing monitoring, logging, and optimization systems for performance, cost control, and accuracy. Continuous improvement of agent capabilities by increasing autonomy, reducing failure points, and improving execution speed is expected, along with contributing to internal frameworks that standardize agent deployment and scaling.

Requirements

• 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