Sponsored article by Wild Code School
For several months now, the term “AI agent” has crept into every tech conversation. Behind the phrase lies a very concrete reality: systems capable of planning, executing and chaining tasks autonomously, without a human having to validate every step. Far more than a simple chatbot, agentic AI is profoundly redefining companies’ day-to-day operations.
But, contrary to what some alarmist headlines suggest, AI agents are not destined to replace web professionals. They give rise to new roles that didn’t exist two years ago. Here’s a tour of this evolving ecosystem!
What an AI agent really does
An AI agent is a program that receives a goal and breaks it down into subtasks, which it executes itself using external tools: an API, a search engine, a database or a content editor. The AI agent can, for example, write a brief, run a query, analyze feedback, then adjust its action accordingly. All without human intervention at every junction.
- What the AI agent does better, It's repeating high-speed processes, cross-referencing large datasets, and maintaining consistency across parallel streams.
- What it does poorly, or not at all, is to assess the strategic relevance of a decision, understand a brand's implicit context, or negotiate a brief with a client. In other words: it executes, but it does not arbitrate.
That’s precisely why web professionals are on the front line of this transformation. They know business processes, editorial constraints, SEO logic and UX expectations. They’re the ones who know what to automate, how to configure it, and above all, how to verify that the result holds up!
The new roles emerging in digital teams
Job boards don’t lie : in less than a year, job titles that didn’t exist have started to appear en masse. Here are the three positions that show up most often in online listings.
Prompt Engineer / AI Workflow Designer
Far from just “talking to ChatGPT,” the Prompt Engineer’s job consists of designing precise, reproducible instructions for AI agents integrated into production workflows. Concretely, they define variables, constraints and edge cases. They test, iterate and document. Within an agency or an IT department, this role is becoming as indispensable as the front-end developer’s role was ten years ago.
Recruiters are looking for profiles that combine editorial or UX sensitivity with an almost algorithmic logic. Salaries start around €35,000 to €45,000 gross per year in France, with rapid progression once the person masters multiple environments (LangChain, AutoGen, GPT Actions, etc.).
AI Agent Integrator (SEO, content, data)
Where the prompt engineer designs, the integrator builds. Their role: connect AI agents to the company’s existing tools, whether it’s a CMS, an analytics platform or an SEO tool. They understand APIs, can read technical documentation, and can identify friction points in an automated pipeline.
This profile is particularly sought after by SaaS publishers, high-volume content agencies and marketing teams operating in multilingual markets. The salary range is between €40,000 and €60,000 depending on experience and sector.
AI & Automation Project Manager
More cross-functional, this role consists of lead the transformation of teams in response to agentic AIThe project manager does not code, but understands what is technically feasible. They translate business needs into use cases, manage internal resistance and define key performance indicators (KPIs). It's a traditional project manager role, but with an essential layer of AI culture.
Companies undergoing digital transformation urgently need one. Profiles from the web or digital marketing, provided they have acquired the fundamentals of AI, are particularly well positioned to attain it. Compensation: between €45,000 and €70,000 depending on the size of the organization.
Training for agentic AI jobs
The good news is that these new jobs are not reserved for engineers alone. The bad news, if any, is that these strategic roles require at least some training.
Some skills can be self-taught, provided you dedicate time to it :
- Understanding the fundamentals of prompting,
- Experimenting with consumer tools,
- Reading the documentation of major agent platforms.
YouTube, Substack, GitHub, specialized forums, official documentation: there is no shortage of resources!
But there is a limit to self-teaching when aiming for rapid professional placement. Understanding how to integrate an agent into an existing architecture, knowing how to debug a failing workflow, or designing an approach that meets a tech recruiter's criteria: these are skills that require structure, concrete projects and structured feedback from experts. That's what Wild Code School offers with courses geared toward web and tech professions, including an AI Developer and Agentic AI training.
Present on the training market for more than 10 years, Wild Code School started from a simple observation: a developer who does not master agentic AI is depriving themselves today of a major competitive advantage with recruiters. Far from being an optional skill to add at the bottom of a CV, it is what makes the difference between two technically equivalent profiles. That's why the school has integrated these practices 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's training programs are available in-person and remotely, with formats suited to career changers, as well as to professionals already in post who are looking to upskill to remain competitive in their sector.
Don't wait any longer to get trained
Agentic AI will not eliminate web professions. However, it is likely to widen the gap between those those who continue to perform manually what agents now do better, faster, and at lower cost; and those who have learned to orchestrate them.
It is this second group that is on recruiters' radars, who do not hesitate to offer salaries commensurate with the stakes of the agentic revolution. The question is therefore not so much whether the transformation will happen (it is already underway), but how long you plan to wait before getting started!
The article “Agentic AI: what new jobs for web professionals?” was published on the site Abondance.
