AI & No Code automation: the new jobs and skills companies are looking for

The job market is changing rapidly as a result of artificial intelligence and process automation. Against this backdrop, companies are increasingly looking for profiles capable of combining AI automation, No Code tools and an understanding of business operations.

These hybrid profiles are neither traditional developers nor purely functional profiles. Their role is to design systems capable of automating tasks, connecting tools and integrating artificial intelligence models into business workflows.

We are seeing the emergence of new professions such as AI Automation Consultant, No Code Maker or Product Builder, which have already been identified in many Product, Ops or Digital Transformation teams.

What is AI Automation?

AI Automation refers to the use of artificial intelligence to automate tasks or business processes.

It is generally based on a combination of several technologies:

• workflow automation tools

• No Code platforms

• APIs linking different services

• generative artificial intelligence models

In concrete terms, these systems make it possible, for example, to automate document processing, generate content or analyses, connect several business tools together, orchestrate complex workflows or even create AI agents capable of carrying out certain tasks autonomously.

The aim is simple: to reduce repetitive tasks and improve the operational efficiency of teams.

Why the AI Automation and No Code professions are emerging today

If these roles are emerging today, it's because technologies have changed profoundly.

Generative AI and No Code tools have greatly reduced the technical barrier. Tasks that used to require several developers can now be carried out much more quickly thanks to automation platforms.

However, designing a reliable and genuinely useful system remains a complex task.

Companies therefore need profiles capable of :

• understanding a business need

• structuring usable data

• design automated workflows

• connect tools via API

• integrate artificial intelligence models into business processes

• trade-offs between speed of deployment, cost and robustness

This type of skill lies on the borderline between technical and business. That's why these profiles are often attached to the Product, Ops, Data or Consulting teams.

Accessible but demanding routes

Contrary to certain preconceived ideas, these are not 'low tech' roles. They require real rigour: algorithmic logic, understanding of data formats, mastery of automation tools, advanced Prompt Engineering, technical integration.

The difference is that these skills can be acquired more quickly than a traditional software engineering foundation, as long as you are trained on real cases and complete architectures. This is what attracts a wide range of profiles today: consultants, project managers, analysts, ops profiles, and even managers who are changing careers.

What skills are recruiters looking for?

Contrary to certain preconceived ideas, jobs linked to automation and No Code are not "low tech" roles. On the contrary, they require a good understanding of systems and data.

The most sought-after skills include :

Understanding business processes

Identify repetitive tasks and understand how to automate them effectively.

Structuring data

Organising and cleansing data so that it can be used by automated systems or AI models.

Mastery of No Code tools

Use automation platforms such as Dust, Make, Zapier and Airtable to build workflows.

Technical integration

Connect different services via APIs or webhooks to create coherent automated systems.

Prompt engineering and supervision of AI models

Knowing how to manage artificial intelligence models to obtain reliable, usable results.

These skills enable us to create solutions that are quick to deploy and of direct use to business teams.

Position yourself for the long term in these professions

Automation-related professions are now attracting a wide variety of profiles: consultants, project managers, analysts, ops profiles and even managers undergoing retraining.

Unlike traditional software engineering training, these skills can be acquired more quickly, provided that you work on real cases and real architectures. This explains the development of intensive training courses specialising in AI automation and No Code.

Le AI & No-Code Bootcamp at Artefact School of Data has been designed to support the operational adoption of artificial intelligence and automation in businesses.

In an intensive format, participants learn how to design and deploy AI agents, automated workflows, integration systems between tools and automation solutions applied to real business cases. The programme covers query engineering, API integration and the design of automation architectures.

Things to remember

AI Automation and No Code are gradually emerging as major levers for business transformation. Profiles capable of designing and deploying these hybrid systems are therefore becoming particularly sought-after. For professionals, this is a clear opportunity to develop high-value technical skills while remaining close to business challenges.

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