What are the careers in artificial intelligence?

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Digital transformation, and artificial intelligence (AI) in particular, are revolutionizing the professional world by creating new jobs and transforming existing ones. These disruptive technologies are opening up unprecedented prospects in a variety of fields and offering growing opportunities with attractive salaries. Here is a comprehensive overview of this rapidly expanding sector to help you find your way to the jobs of the future.   

Understanding the artificial intelligence market  

Artificial intelligence is experiencing exponential growth, transforming the world of work across all sectors.   

Why is AI transforming the world of work?   

AI is radically transforming organizations by automating processes, optimizing decision-making, helping to solve problems, and creating new services. This disruption is generating growing demand for hybrid skills: mastery of algorithms, predictive analytics, and ethical data management. Companies are now looking for candidates who can combine technical expertise with strategic vision.  

Which sectors are recruiting the most in AI?  

All sectors of activity are impacted by artificial intelligence, but the fastest-growing professions mainly concern:   

  • Healthcare: AI-assisted diagnostics, discovery of treatments through deep learning, etc. 

  • Finance: Investment advisor chatbot project, market monitoring, etc. 

  • Marketing: Campaign personalization, predictive analysis of customer behavior, etc. 

  • Cybersecurity: Real-time threat detection, biometric authentication, etc. 

  • Transportation: Autonomous vehicles, flow optimization, etc. 

  • Industry: Production line optimization with computer vision, collaborative robotics, etc. 

Key jobs in artificial intelligence in 2025 

Jobs that will be in demand in 2025 include: 

  • Data scientist responsibilities: Apply machine learning to massive databases to solve real-world problems. 

  • Skills: Data analysis, machine learning, advanced statistics, data mining.  

  • Specialized training: Master's degree in Data Science or equivalent with a module in machine learning and neural networks. 

  • Average salary: $45,000 to $80,000 gross per year. 

  • Artificial intelligence engineer responsibilities: Design and deploy systems using deep learning to automate complex processes.  

  • Skills: Deep learning, frameworks, image and text processing, etc. 

  • Training to become an AI engineer: Engineering school

  • Average salary: $50,000 to $90,000 gross per year.   

  • Responsibilities: Implement reinforcement learning solutions for video games, robotics, etc.  

  • Skills: Natural language processing, neural network frameworks, etc.  

  • Education: Master's degree in machine learning with a specialization in neural architecture.  

  • Average salary: $50,000 to $85,000 gross per year.  

  • Big data architect responsibilities: Structure infrastructure to process large amounts of data. 

  • Skills: Distributed database optimization, scalable architectures, big data, etc. 

  • Education: Master's degree in specialized computer science,  

  • Average salary: $60,000 to $100,000 gross per year.  

  • Data analyst responsibilities: Transforming raw data into insights,  

  • Skills: Data analysis, visualization tools, etc.  

  • Education: Specialized master's degree with machine learning module.  

  • Average salary: $40,000 to $70,000 per year. 

  • Prompt engineer responsibilities: Optimizing interactions with large language models,  

  • Skills: Advanced language comprehension techniques, LLM evaluations,  

  • Education: Minimum bachelor's degree with modules in natural language processing,  

  • Average salary: $40,000 to $70,000 per year.  

  • Chief data officer responsibilities: Overseeing big data strategy,  

  • Skills: Database governance, cross-functional management,  

  • Education: Master's degree and experience with complex systems, 

  • Average salary: $80,000 to $150,000 gross. 

Emerging and fast-growing professions 

Every major advance in AI gives rise to new professions, creating an ever-expanding ecosystem of opportunities. These developing professions include: 

  • Responsibilities: Ensuring that AI is used ethically  

  • Skills: Regulatory frameworks, bias detection, etc. 

  • Education: Master's degree in AI with a specialization in digital ethics 

  • Average salary: $50,000 to $75,000 gross per year 

  • Responsibilities: Design and train generative AI (text, images, sounds, etc.)  

  • Skills: Machine translation, multimodal generation, machine learning, etc.  

  • Education: Master's degree in AI with a specialization in generative architectures. 

  • Average salary: $50,000 to $85,000 gross per year. 

  • Big data developer responsibilities: Develop processing pipelines to handle very large volumes of data.  

  • Skills: Distributed software development, ETL optimization, etc.  

  • Basic education: Bachelor's or master's degree in computer science.  

  • Average salary: $40,000 to $70,000 gross per year. 

What skills are sought after in AI?  

The essential skills for working in AI include hard skills and soft skills. It is therefore essential to master:  

  • Programming and development: Python, TensorFlow, etc.  

  • Data management and processing: SQL, big data, etc.  

  • Mathematics, modeling, statistics, and analysis: Natural language processing, content recommendation, etc.  

  • Infrastructure and deployment: Cloud computing, edge computing, etc. 

You may consider a career in AI if you demonstrate: 

  • Rigorousness, 

  • Curiosity, 

  • Critical thinking, 

  • Creativity, 

  • Collaborative spirit. 

What training is required to enter the AI profession? 

Whether through continuing education, work-study programs, or online training, artificial intelligence courses have diversified to meet growing market demand. Whether you want to become a big data engineer, research and development manager, data analytics consultant, or machine learning engineer, the job description indicates the level of education and experience required.  

BTS and DUT degrees in computer science, equivalent to two years of higher education, are a good starting point, particularly for technical positions. Professional bachelor's degrees in data science or software development, equivalent to three years of higher education, offer rapid specialization.    

For more specialized professions, master's degrees in artificial intelligence, data science, or applied mathematics are particularly valued. Leading engineering and business schools such as emlyon business school, with its Master's in Data Science & Artificial Intelligence Strategy, offer excellent training programs.  

The Master in Data Science & Artificial Intelligence Strategy aims to teach advanced methods and techniques to master concepts and skills essential for designing AI strategies. Understanding artificial intelligence and data science responsibly is achievable through learning methods that combine technical, strategic, and ethical approaches.

How can you find a job in AI? 

To break into this dynamic sector, adopt a multi-channel strategy. Optimize your professional social networks such as LinkedIn, contribute to open source projects to demonstrate your skills, actively participate in specialized conferences such as Viva Technology or local meetups, and apply via targeted platforms such as Welcome to the Jungle or Glassdoor, personalizing each application.   

Hackathons and Kaggle challenges also offer valuable visibility to recruiters. Consider seeking out mentors in the field or your school's network to guide you on your career path.    

Salaries and career prospects

In the AI sector, annual salaries increase rapidly with experience, responsibilities, and career opportunities. The salary of a junior data scientist is generally between €35,000 and €45,000 gross per year, while that of a mid-career big data architect can reach €80,000. The salary of a senior engineer who chooses a niche specialty can exceed €100,000. The finance and healthcare sectors often offer competitive gross salaries and attractive benefits.   

Should we be afraid of artificial intelligence?  

AI is replacing certain jobs that are under threat, but it is also creating new ones. So we shouldn't be afraid of artificial intelligence, but rather evolve with it to take advantage of emerging opportunities. AI jobs offer numerous opportunities, with attractive salaries and strong growth.    

According to the World Economic Forum, the artificial intelligence market is expected to generate nearly 97 million new jobs by 2025. These professions not only offer exciting career prospects, but also salaries that are on average 30% higher than traditional tech jobs.   

AI should therefore be seen as a powerful professional accelerator, complementing human intelligence. To pursue a career in data, it is beneficial to pursue excellence in training in this field in order to anticipate changes and adapt to them proactively.