What Types of Jobs Are Available in Artificial Intelligence?
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In Brief: (1) Artificial intelligence is impacting the job market on a global scale. (2) Many new jobs related to AI are in high demand as the landscape evolves. (3) Computer engineering and computer science can be a career path for many to pursue work in AI.
As artificial intelligence (AI) continues to make a major impact on the job market, people are wondering how the landscape will change. Many have assumed that AI will take away work, while others predict more jobs will be available. At the moment, new jobs are being created and there are multiple career routes you can take for a career in AI.
However, the term “artificial intelligence” has largely lacked a clear definition among those debating the future of the labor market. Whether it’s made to sound intimidating or exciting, it’s anticipated that AI will drastically affect multiple industries in the coming years.
Artificial intelligence is impacting the job market on a global scale?
It’s essential to address the question “what is artificial intelligence?” before considering the future it will create. Although the topic has parallels to science fiction, careers in AI deal with the development of technology to achieve tasks including text, speech, translation, visual identification, and more.
“The term AI has been notoriously stretched to mean almost anything data related, from the traditional database administration and data mining, to the work on research and development of hard AI, and work on artificial general intelligence in particular… I will consider AI to mean any machine learning (ML) work pertaining to text, speech, computer vision, image, and video applications.”
— Bojan Tunguz is a data scientist who specializes in artificial intelligence, data science, machine learning, predictive modeling, natural language processing, and more. He is currently the senior systems software engineer at NVIDIA.
This pertains to specific AI-enabled robots and programs. Unlike depictions in fiction, AI is simply a simulation that mimics human behavior. As it functions, it learns and takes new information into account while performing tasks.
“While mimicking the full-fledged cognitive behavior of humans is still a future goal of AI, luckily the science and engineering community have come up with a more practical way. When approaching AI to solve common industry and security problems, we usually refer to the creation of intelligent agents. An intelligent agent is a machine, software or system that maximizes the probability of goal completion by sensing, learning and acting.”
— Sam Sehgal teaches a LinkedIn Learning course about artificial intelligence’s impact on cyber security. He specializes in software security and is currently the program lead for DevSecOps Strategy and Architecture, SDL (Secure Development Lifecycle) Automation.
Many new jobs related to AI are in high demand
According to Oberlo, AI has experienced 270% growth across multiple industries in four years. By 2028, the global AI market expects to reach $641.3 billion. While the labor market is changing rapidly, Tunguz sees some employers viewing AI as a “magic bullet” that can resolve any data-related problem. As more people are entering such positions, expectations are becoming more realistic— both from employers and applicants. Tunguz lays out three main career paths related to AI which are currently in high demand.
“A. AI R&D pertaining to the most cutting-edge SOTA research. There are relatively very few of these roles, and most of them seem to be concentrated at some of the most advanced and powerful tech companies.
B. Application of the cutting edge research to specific business use cases. Say fine tuning a SOTA image recognition algorithm for radiology data, or adapting a large language model for better spam detection. There are more roles in this segment than in the above one, but there are still relatively few of them around.
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C. Putting AI models in production and getting them to perform well under all contingencies and business use cases is still a major challenge. Machine learning operations aim to address this area. This is probably the largest area in terms of jobs and professional opportunities in AI in the upcoming years.”
— Bojan Tunguz
There are many entry-level opportunities for someone pursuing work in artificial intelligence
Anyone interested in pursuing a career in AI can find several opportunities in entry-level positions. Computer engineering and computer science can open up the path for some to eventually land in a role related to AI. Computer engineering focuses on hardware and design, while computer science deals with software and computer theory.
"It will largely depend on their background and interests. Those who have lots of software engineering and ‘proper’ ML and AI educational engineering background should look into various intro ML engineering roles. Those who come from other backgrounds might want to? look into career openings in data science and data engineering as stepping stones towards more core AI roles.”
— Bojan Tunguz
Tunguz predicts the creation of entirely new positions in AI, foreseeing a rise in no-code or low-code related jobs. From the industries that will be most affected, he believes the arts and entertainment will be at the center of changes in the job market from AI.
“One such ‘job’ that’s been half-jokingly mentioned in recent weeks would be that of a ‘prompt engineer.’ Whether or not that particular job ever becomes a reality, it is reasonable to expect that we’ll see an explosion in AI-related roles in the domains of arts and entertainment alone in the upcoming years. In general, I foresee a rapid growth of the number and diversity of jobs that combine human creativity and intuition with the incredible power and efficiency that only AI can provide.“
— Bojan Tunguz
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Meet the experts
Sam Sehgal teaches a LinkedIn Learning course about artificial intelligence’s impact on cyber security. He specializes in software security and is currently the program lead for DevSecOps Strategy and Architecture, SDL (Secure Development Lifecycle) Automation.
Bojan Tunguz is a data scientist who specializes in artificial intelligence, data science, machine learning, predictive modeling, natural language processing, and more. He is currently the senior systems software engineer at NVIDIA.
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