AI Agent Engineering > Introduction
  

Introduction

Welcome to AI Agent Engineering! AI Agent Engineering is an easy-to-use, generative AI development tool for building, testing, and deploying AI agents. It leverages the power of Informatica Intelligent Cloud Services to seamlessly connect to and work with popular third-party LLMs and vector databases as well as your organization’s own trusted and proven Informatica Intelligent Cloud Services assets.
Note: Effective in the November 2025 release, AI Agent Engineering is available for preview. Preview functionality is supported for evaluation purposes but is unwarranted and is not supported in production environments or any environment that you plan to push to production. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. Note that if you are working on a preview POD, all data is excluded from SOC 2 compliance coverage. For more information, contact Informatica Global Customer Support.
Use AI Agent Engineering to complete the following tasks:
AI Agent Engineering contains the following main components that work in harmony to provide a robust development experience:
Model component
The model component is the large language model (LLM) that powers your agent’s reasoning and decision-making capabilities.
Memory component
The memory provider manages your agent's data persistence and context. It allows the agent to retain and recall information to maintain state and user context each time the agent is invoked within a conversation thread.
Tools component
The tool component consists of the external APIs and Informatica Intelligent Cloud Services tools that expand your agent’s functionality and support complex task execution.
You build and test your AI agents using the agent flow canvas, an intuitive drag-and-drop interface.
The following image shows the agent flow canvas:
The image shows the agent flow canvas with one agent block between the Start and End nodes. The planning prompt is expanded to show the entire prompt, and the AzureProductSearch tool is expanded to show its properties. A toolbar and the Activities menu appear in the upper left corner, and pagination controls appear in the lower right corner.
After you build your agent's flow, you can deploy and test it. You can also monitor its usage.