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The challenges posed by artificial intelligence are as great as its potential.

As it shapes our professional and personal futures, it is one of the major issues of our time. To harness such power, new professions have emerged, such as artificial intelligence engineer.

Overview and Responsibilities of an AI Engineer

They may be referred to as an AI project manager, AI project director, AI expert, or AI consultant. Their role is to create computer programs capable of processing complex data and responding in a coherent manner.

Its core principle involves using certain tools to automate tasks that were previously performed by humans. These tools are based on machine learning (including deep learning) and, to a certain extent, simulate what we know about human cognition. This does not make machines intelligent, but it does make them extremely efficient at processing data and identifying correlations.

An AI engineer creates tools that mimic human reasoning. These include, for example, intuitive interfaces (such as chatbots), decision-support software, and automation programs…

Examples include voice assistants like Alexa or Siri, as well as spam filters that block unwanted emails, and GPS apps like Waze that adjust routes in real time based on traffic conditions...

Business implications

The scope of work for an AI engineer is broad because artificial intelligence impacts many different fields. The sectors at the forefront of this field are healthcare, finance, and security.

Commerce, transportation, industry, the environment, and defense are also sectors that will be transformed by this new technology. Even our public administrative bodies are taking a keen interest in artificial intelligence.

With the field offering ever-expanding and wide-ranging opportunities (information processing, image and video processing, automation, analytical modeling, etc.), the profession of AI engineer is undoubtedly the future.

The market for business intelligence recruitment is becoming more competitive as the volume of data and the performance of our algorithms continue to grow.

Ethical implications
Ethics is an integral part of any project involving artificial intelligence.

When researching and developing systems, AI engineers must adopt a human-centered approach that respects the law, equality, the environment, and the freedoms and rights of all individuals. To this end, they know how to collaborate with other experts, such as AI legal specialists and ethics officers.

The AI revolution promises great advances, but it is not without risks. For a computer system to be truly “intelligent”—that is, to serve us without ever harming us—it must be able to handle every possible scenario while taking into account societal, individual, and environmental regulations. It is the engineer’s job to address these issues in consultation with legal and ethics professionals.

Aivancity's programs incorporate all aspects of artificial intelligence and its challenges, whether technical, technological, commercial, ethical, or legal, into their teaching. These comprehensive, hybrid courses enable future engineers to acquire the highest level of knowledge and a broad range of expertise.
Key skills
As an expert in computer science research, an artificial intelligence engineer works as part of a team alongside other professionals depending on the nature of the project (data scientists, programmers, natural language engineers, legal experts, ethics officers, etc.).

He clearly possesses strong technical skills and the comprehensive perspective of a project manager. He is proficient in data science and data mining, structural analysis of web tools (web crawling), and machine learning (including deep learning)....

One of his strengths is the ability to delegate tasks between people and machines. His key strengths include analytical skills, foresight, tenacity, and attention to detail.

The profession requires ongoing training and staying up to date with global technological developments.

Trends and factors driving change
Whether employed by a company, an IT services firm, or working as a freelancer, all forms of employment are possible for an artificial intelligence project manager. They may work across various industries or choose to specialize. Their career progression depends on their skills and experience. They may be called upon to lead a team of engineers or head up a research center.

Although it already shows great promise, we are still in the early stages of artificial intelligence. Its deployment and expansion across all sectors will require the recruitment of many AI professionals.

*IAgénieur and AIgineer are registered trademarks protected by aivancity.