Article sponsored by Wild Code School
In recent months, the word “AI agent” has crept into all tech conversations. Behind the term lies a very concrete reality: systems capable of planning, executing and sequencing tasks autonomously, without a human having to validate each step. Much more than a simple chatbot, agentic AI is profoundly redefining daily business life.
But, contrary to what some anxiety-provoking headlines suggest, AI agents are not destined to replace web professionals. They are bringing out new roles that no one occupied two years ago. Overview of this changing ecosystem!
What an AI agent really does
An AI agent is a program that receives an objective and breaks it down into subtasks, which it executes itself, relying on external tools: an API, a search engine, a database or even a content editor. The AI agent can, for example, write a brief, launch a request, analyze feedback, then adjust its action accordingly. All without human intervention at each node.
- What the AI agent does better, it means repeating processes at high speed, cross-referencing large data and maintaining consistency across parallel flows.
- What he does wrong, or not at all, it’s judging the strategic relevance of a decision, understanding the implicit context of a brand or negotiating a brief with a client. In other words: He executes, but does not arbitrate.
It is precisely for this reason that web professionals find themselves at the forefront of this transformation. They know the business processes, editorial constraints, SEO logic and even UX expectations. They are the ones who know what to automate, how to configure it, and above all, how to check if the result holds up!
New roles emerging in digital teams
Job boards don't lie : In less than a year, job titles that didn't exist started appearing en masse. Here are the three positions that appear most often in offers published online.
Prompt Engineer / AI workflow designer
Far from simply “talking to ChatGPT”, the Prompt Engineer’s job is to design precise and repeatable instructions for AI agents integrated into production workflows. Concretely, it defines the variables, constraints and limiting cases. It tests, iterates and documents. Within an agency or an IT department, this role is becoming as essential as that of the front developer ten years ago.
Recruiters are looking for profiles that combine editorial or UX sensitivity with quasi-algorithmic logic. Salaries start at around 35,000 to 45,000 euros gross annually in France, with rapid progression as soon as the profile masters several environments (LangChain, AutoGen, GPT Actions, etc.).
AI agent integrator (SEO, content, data)
Where the prompt engineer designs, the integrator builds. Its role: connect AI agents to existing company tools, whether it is a CMS, an analytics platform or an SEO tool. He understands APIs, he knows how to read technical documentation, and he is able to identify friction points in an automated pipeline.
This profile is particularly sought after among SaaS publishers, high-volume content agencies and marketing teams operating in multilingual markets. The salary range is between 40,000 and 60,000 euros depending on experience and sector.
“AI & automation” project manager
More transversal, this function consists of manage the transformation of teams in the face of agentic AI. The project manager does not code, but he understands what is technically possible to achieve. It translates business needs into usage cases, manages internal resistance and defines key performance indicators (KPIs). He is a classic project manager, but with an essential layer of AI culture.
Companies undergoing digital transformation urgently need it. Profiles from the web or digital marketing, provided they have acquired the fundamentals of AI, are particularly well positioned to access it. Remuneration: between 45,000 and 70,000 euros depending on the size of the structure.
Training in agentic AI professions
The good news is that these new professions are not reserved for engineers only. The bad news, if there is one, is that these strategic roles involve minimal training.
Some skills are acquired alone, provided you devote time to it :
- Understand the fundamentals of prompting,
- Experiment with consumer tools,
- Read the documentation for the main agent platforms.
YouTube, Substack, GitHub, specialized forums, official documentation: there is no shortage of resources!
But there is a limit to self-teaching when we aim for rapid professional integration. Understanding how to integrate an agent into an existing architecture, knowing how to debug a faulty workflow, or even designing an approach that meets the criteria of a tech recruiter: these are all skills that require a framework, concrete projects and structured feedback from experts. This is what Wild Code School offers with training geared towards web and tech professions, including one AI Developer and Agentic AI training.
Present for more than 10 years on the training market, Wild Code School started from a simple observation: a developer who does not master agentic AI today deprives himself of a major competitive advantage against recruiters. Far from being an optional skill that we add at the bottom of the CV, it is what makes the difference between two technically equivalent profiles. This is why the school has integrated these uses at the heart of its coursesso that each graduate is immediately operational on one of the most strategic technologies of the moment.
Wild Code School training courses are available in person and remotelywith formats adapted to profiles undergoing retraining, but also to professionals already in position who seek to improve their skills in order to remain competitive in their sector.
Don't wait any longer to train
Agentic AI is not going to eliminate jobs from the web. On the other hand, it risks widening the gap between those who continue to manually execute what agents now do better, faster, and at lower cost; and those who have learned to orchestrate them.
It is this second group which is under the radar of recruiters who do not hesitate to offer salaries that match the challenges raised by the agentic revolution. The question is therefore not so much whether the transformation will take place (it is already underway), but how long you plan to wait before getting started!