The new professions of the AI era: the positions that did not exist and that today are the most disputed in the market

The technological revolution of recent years, driven by artificial intelligence, automation and advanced data analysis, has been transforming business models and, with them, the most strategic positions of companies. Functions that until recently were unknown, today occupy fundamental positions in areas such as technology, finance, risk and operations (topping the list of the most valued (and difficult to hire) in the market. 

With the advancement of generative AI tools, the increasingly sophisticated use of data and the search for efficiency and scale, new functions have emerged. According to a survey by LinkedIn, 10% of professionals hired in 2024 occupy positions that did not exist in the 2000s, such as data scientist, sustainability manager and artificial intelligence engineer. The study heard more than 2 thousand HR professionals in 10 countries, in addition to 5 thousand users and executives of the platform. The data indicates that the skills required today by the market must be replaced or significantly changed by 2030. In Brazil, 9 in each 10 new business leaders recognize the accelerated pace.

“We are at a turning point. Artificial intelligence is no longer a promise and has become an active part of the strategy of companies, especially in the financial and operational areas”, says Thiago Oliveira, CEO of Monest IO asset recovery company through the collection of debts by a virtual agent called Mia, connected by artificial intelligence.

For the CEO, the need for professionals who combine technical domain with business vision has never been more urgent.“Today, it is impossible to scale an operation without intelligent automation.The most valued positions are precisely those that connect technology to real impact on results, he adds.

Check out five functions that were born or gained strength with the rise of artificial intelligence and that today are among the most disputed in the market:

1. Prompts Engineer (Prompt Engineer)

With the rise of platforms such as ChatGPT, Claude and Gemini, companies have begun to seek professionals specialized in creating optimized commands to extract the best performance from generative AI. This position requires logical reasoning, clarity of language and technical understanding & IS already valued in areas such as customer service, legal, HR and product development.

2. Financial Automation Specialist

The need to automate manual and repetitive tasks in financial areas such as bank reconciliation, cash flow analysis and default control IO has brought up professionals specialized in implementing and operating intelligent systems.They connect data, platforms and routines focused on efficiency, scalability and reduction of human errors.

3. Data Scientist with a focus on business

More than interpreting data, this professional translates information into practical decisions and financial strategies.He works in predictive analysis, risk modeling, pricing and opportunity identification. AI has been further expanding the ability of these experts to generate real impact in companies.

4. Applied AI Analyst

Unlike traditional AI developers, this position focuses on adapting and applying existing artificial intelligence tools to solve business-specific problems.In financial companies, these professionals are optimizing everything from credit modeling to billing automation and fulfillment.

5. Expert in AI and Data Governance

With the increasing use of algorithms in critical decisions, such as credit granting or financial transactions, the demand for professionals capable of ensuring compliance, transparency and responsibility in the use of AI has increased. This function involves bias assessment, model validation and technological compliance.

For Thiago Oliveira, these positions reflect a deeper change in the role of technology within companies: “Antes, technology was support. Now, it is the decision center.And those who master the logic of AI, data and automation are naturally closer to the” leadership, he concludes.