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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 the Artificial Intelligence Research and Development Project Manager

He or she may be appointed as a research engineer in artificial intelligence or as a researcher in artificial intelligence.

His role is to evaluate AI technology through the lens of a specific project. This could involve an innovation in the energy sector, the medical field, the service industry, or the environmental sector… His work is that of a scientist, applied to the field of computer science: defining and monitoring project specifications, conducting feasibility studies, performing analyses and tests, preparing reports, and monitoring technological developments.

He develops R&D programs, creates and oversees technology roadmaps, leads working groups with experts (both internal and external), and promotes the results. Managing patents, licenses, and certifications is also part of his responsibilities. All of these tasks must, of course, be carried out within the specified timeframes and budgets.

Business implications

When it comes to artificial intelligence, healthcare, finance, and security take center stage, but other sectors are by no means left out: institutions (schools, government agencies, public organizations), transportation, recycling, defense, manufacturing, and the service sector…

The work of an artificial intelligence researcher is crucial. No innovation is launched without a phase of research and testing. The researcher then hands the baton to the engineers to bring the project to fruition. The stakes are high for the R&D department; it is this team that brings a project to life. It is therefore thanks to them that the brand makes its decision: “go” or “no go.”

Many companies have incorporated AI into their R&D departments. Some are already working on new innovations, while others are exploring how this new technology could benefit them.

Ethical implications
Ethics is intrinsically linked to artificial intelligence.

Big data has raised a host of questions about freedom and security. Legislation addressing these issues is currently being developed. AI R&D project managers are already grappling with ethical considerations in their research work.

It must also take this into account as part of its efforts to anticipate risks (both ethical and legal). Experts such as AI legal specialists or ethics officers can provide valuable support in addressing these important issues.

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 IT research, the AI R&D project manager enjoys working as part of a team (including data scientists, business data analysts, AI ethics officers, and data and AI lawyers). He is skilled at supervising and coordinating the work of the various team members.

Precision, analysis, and synthesis are the skills he draws on every day. Methodicalness and organization are, of course, his strengths. His technical skills and technological knowledge are extensive and varied, enabling him to maintain as broad a perspective as possible.

Data science, machine learning, text mining, and deep learning are his areas of expertise. He is well-versed in programming languages (Python, C/C++, Java, SQL, VB6, etc.), as well as database systems (Oracle, Neo4j, Access, GraphDB, etc.) and big data platforms (Hadoop, Spark).

The R&D project manager for artificial intelligence stays up to date on technological developments and undergoes regular training.

Trends and factors driving change
Whether working in a company or a research center, an R&D project manager specializing in artificial intelligence can adapt to a variety of industries. Some choose to specialize after gaining a few years of experience. Career prospects are excellent. Potential career paths include managing a department or leading a research center.

The Artificial Intelligence Research and Development Project Manager helps bring innovations to life.

This is a key role for any company looking to leverage AI as part of its growth strategy.