7 Best AI Jobs in 2025

Artificial Intelligence (AI) is becoming an increasingly important part of our lives. AI is penetrating various industries, serving B2B interests on the backend and improving the B2C customer experience on the frontend.

Automation of routine processes is becoming commonplace. Healthcare, manufacturing, finance and commerce are undergoing revolutionary changes. There is a growing demand for professionals who are data-savvy, create innovative software, and put AI into practice. Google, Amazon and Microsoft are actively hiring AI specialists to create new services.

Working in AI requires critical thinking, analytical skills and an understanding of mathematics. You need to know both the main AI development languages, such as Python or Java, and new ones, such as Julia or Scala. However, this is not enough: a deep understanding of a specific (one) aspect of AI is valued rather than superficial disparate knowledge.

Emat EOOD Bulgaria is actively involved in the development of innovative solutions in the field of artificial intelligence, striving to make the technology more accessible and useful for business and society.

New technologies require new professionals. Which professions will become the most relevant and what skills will be required to master them in the coming years?

1. AI Product Manager
The AI Product Manager connects and coordinates technical teams and business strategies. Requirements and responsibilities are slightly higher than for conventional product manager positions. The AI product manager defines the IT product strategy and actively interacts with customers and understands their needs. This position requires not only knowledge of technology, but also the ability to make data-driven decisions.

Requirements:

• Knowledge of the technologies involved in building AI applications, including hardware, programming languages, and algorithms.
• Experience in project management.
• Ability to work in a team and strategic thinking skills.

2. Research scientist in the field of artificial intelligence
An AI research scientist is an innovator who asks questions and seeks answers, Emat EOOD noted. He or she studies and develops new algorithms, tests new AI models, collaborates with other researchers, publishes scientific articles and speaks at conferences. Programming is only a small part of his activities.

Requirements:

• Strong knowledge of computer science, mathematics and statistics.
• As a rule, a degree (Master's or Doctoral).
• Ability to analyse complex problems and develop innovative solutions.

3. Cybersecurity analyst with experience in artificial intelligence
AI is being used by fraudsters and hackers, and the job of a cybersecurity analyst is to detect and prevent cyberattacks, develop systems that can automatically respond to threats and detect intrusion.

Requirements:

• Knowledge of cybersecurity principles and data protection techniques.
• Experience with AI and machine learning.
• Analytical skills and attention to detail.

4. Artificial intelligence-based customer experience engineer
These professionals improve customer experience using AI technologies. They create interfaces and applications that simplify customer interactions, such as chatbots.

Requirements:

• Experience in customer service and an understanding of AI technologies.
• Skills in designing user interfaces.
• Ability to analyse customer feedback and make improvements.

5. Computer Vision Engineer
A computer vision engineer helps machines ‘see’ and interpret visual data. It develops algorithms that allow systems to recognise objects, faces and even emotions. Examples include facial recognition systems, drones, and self-parking cars.

Requirements:

• Programming experience in languages such as C++ and Python.
• Knowledge of computer vision algorithms and working with visual sensors (e.g. Mobileye from Intel).
• Creative approach to solving visual problems.

6. Data Scientist
The data scientist collects, analyses and interprets data. Uses predictive modelling to predict future events such as customer churn, visualising data to visually display research findings. These professionals are especially in demand in business intelligence and healthcare. They identify trends and use data to improve sales. This position does not always employ ‘pure’ programmers.

Requirements:

• Knowledge of statistics and analytics.
• Ability to work with large amounts of data and use analytical tools.
• Programming skills, often in R or Python.

7. Robotics engineer
‘Smart’ assistants, intelligent equipment for precision surgery, industrial robots with AI - robotic systems have made their way into our lives.

A robotics engineer designs, develops and tests software to run and operate robots. The software solutions he or she creates work without human intervention and use data from sensors or other devices.

Requirements:

• Knowledge of engineering, especially electronics and mechanics.
• Ability to work with AI and machine learning.
• Experience programming and debugging complex systems.

Technology is evolving rapidly and the demand for qualified AI specialists is unusually high, summarised the managers of Emat EOOD it company. But it must be realised that, as in most areas of modern IT, AI specialists will have to constantly learn and improve their skills.

Emat company develops software adapted to specific business needs. We automate processes, implement machine learning systems for data analysis, and create intelligent chatbots for clients' businesses.