Despite growing global concerns about declining job opportunities and the disappearance of several traditional professions due to the rapid advancement of artificial intelligence (AI), recent indicators reveal another facet of this technological revolution: the emergence of a new set of jobs that didn't exist before, yet remain in high demand across various countries and sectors.
These jobs were born directly from the accelerated development of AI and its rapid adoption within companies and institutions. As innovation continues and the use of intelligent models expands in business and services, experts anticipate that the job market will witness the creation of even more new roles, rather than simply a scenario of job elimination.
Here are some of the most prominent jobs that have emerged in the AI era in recent times, and which are expected to form a cornerstone of the future job market:
AI Conversation Designer
This is one of the most modern and in-demand roles. The designer is responsible for designing the language of dialogue between the user and AI models, including formulating commands, organizing the flow of conversation, and determining how the model transitions between different tasks.
According to a report published by The Washington Post, this profession requires a unique blend of skills, combining the ability to formulate precise and effective commands with a deep understanding of human behavior and usage patterns. Experts liken this role to the user interface design jobs of early software developers, considering it the future of human-technology interaction.
AI Ethicist
With the increasing reliance on artificial intelligence in making critical decisions, the need for an AI ethicist has emerged, a role expected to become widespread in the coming years, according to a report by Salesforce.
This expert's task is to develop ethical guidelines and policies for the use of AI, taking into account the legal and social dimensions and the technology's impact on the lives of individuals and communities. They also play an oversight role aimed at ensuring companies adhere to these standards, thus avoiding potential risks associated with bias, misuse, or privacy violations.
AI Knowledge Engineer
A knowledge engineer plays a pivotal role in building the knowledge base upon which AI models rely for analysis, inference, and answering questions.
The Washington Post report indicates that this role requires expertise in data organization and building information libraries, as well as the ability to accurately describe and classify data, ensuring more reliable and meaningful results when users interact with the model.
Human-AI Interaction Designer
This role focuses on designing the direct interaction experience between users and AI models, with a primary goal of building trust and collaboration between the two parties.
According to the Washington Post, the interaction designer must possess extensive experience in user experience (UX), along with a deep understanding of how AI works, to be able to explain the model to users in a simple and transparent way that reduces ambiguity and increases safe reliance on it.
AI Engineer
Although the role of an AI engineer is not entirely new, reports indicate an unprecedented rise in demand for it. This engineer is responsible for building integrated AI-based solutions and integrating intelligent models into various company processes to serve the specific needs of each organization.
AI Infrastructure Engineer
This role differs from the traditional AI engineer by focusing on the technical infrastructure and architecture, including data lines, computing environments, and machine learning models at the software level, without direct involvement with user interfaces.
This function is essential for ensuring the efficiency and stability of models, especially with increasing data volumes and system complexity.
Jobs for the Coming AI Era
According to a Business Insider report, companies have focused on running off-the-shelf AI models in recent years, but are now moving towards a more advanced stage: building their own.
Marinella Broffi, Head of Global AI Market Strategy and Generative AI at SAS, believes this stage will create entirely new roles, including that of AI Decision Designer. This role aims to keep humans at the heart of the decision-making process and prevent algorithms from operating without human oversight.
Provi asserts that the future of work will not be a conflict between humans and machines, but a delicate partnership that requires new roles linking algorithms with human responsibility.
