Path and expertise

What exactly does an AI automation engineer do?

This title may seem a little vague. Does it work to write Prompt? Does it program? Do you know the process? The short answer is: it must be able to connect these parts together and deliver something in the end that can be used in everyday work.

Reza Doostipour
Reza DoostipourExpert in artificial intelligence automation and business intelligence
7 minutes read

The work does not start from the artificial intelligence model

First, you need to understand what the user is doing today, where he gets the information from, and which part is difficult or time-consuming for him. We also need to know what the consequences are if the system makes a mistake.

Then it becomes clear where we really need artificial intelligence and where a simple rule is enough. Connectivity to existing tools and human verification points are also designed at this stage.

What technical skills are required?

API, Webhook, JSON structure, secure login methods and basic database. In the artificial intelligence department, the appropriate model should be selected, the output should have a specific shape, and it should be tested with real samples.

The more important part is the things not usually seen in the demo: safe keeping of passwords, error logging, retries, and avoiding duplicate data creation.

Why is process knowledge as important as coding?

If the workflow is unclear or wrong, automation will just repeat the same problem faster. That's why asking the right questions and seeing the real work of the team is a big part of the project.

It should also be possible to explain the cost, risk and benefit of the solution without complicated terms so that the decision maker knows what he is paying for.

Is it always necessary to build proprietary software?

no Sometimes a few lines of code are needed, and sometimes n8n or a faster and less expensive off-the-shelf tool solves the problem. The choice of tools should be done after knowing the problem.

The task of this role is not only to build a technical department; It should be ensured that the entire path, from entering information to user use and measuring the result, works correctly.

What should you deliver at the end of the project?

In addition to the workflow or code, the process path, accesses, error modes, test examples and the method of measuring the result should be specified. The solution is harder to maintain without this information.

It should also be clear who is the owner of the process within the team and what to do in case of changes or errors.

What should we pay attention to when choosing a colleague?

Someone who promises a definite result before seeing the data and process is probably missing an important part of the problem. Asking about exceptions, errors, and current status is a good sign.

Clarity about the limitations of the model, the cost of implementation and maintenance is more important than an attractive demo. It is better to start cooperation with a small sample so that the quality of work can be seen in practice.

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About the author

Reza Doostipour

I started my career in software development and later gained experience in network, operations management and enterprise sales. Today, I use the combination of these experiences to simplify work processes.

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