With AI increasingly popping up in our personal and professional lives, it’s only natural that this area has become an in-demand skill in the job world. On Tuesday, LinkedIn revealed its take on the 25 fastest-growing jobs in the US, and AI captured three of the spots, including the first two.
Number one on the list is Artificial Intelligence Engineer. In this role, people design, develop, and apply AI models and algorithms to improve business processes and solve complex problems. The skills required include Large Language Models (LLM), Natural Language Processing (NLP), and PyTorch, the open-source library for the Python programming language. Three to four years of prior experience are recommended.
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The most common industries in need of AI engineers are technology and internet, IT services and IT consulting, and computers and electronics manufacturing. You’ll find the most jobs in such cities as San Francisco, New York, and Boston. Flexible work is also available with 35% of the jobs remote and 27% in an hybrid environment.
In second place is Artificial Intelligence Consultant. These professionals help organizations adopt and integrate AI technology to meet businsess goals and improve their operations. The most common skills are LLMs, prompt engineering, and Python programming with around 4.5 years of prior experience required.
The most common industries in need of AI consultants are technology and internet, IT services and IT consulting, and business consulting and services. The greatest number of jobs are in San Francisco, New York, and Washington, DC. And you won’t have to work in the office all the time as 28% of the positions are remote and 40% hybrid.
Lower on the list at Number 12 is Artificial Intelligence Researcher. Here, people advance AI technologies and processes or create new ones through research, testing, and algorithms. The most common skills needed for this role are deep learning, PyTorch, and LLMs with at least three years of experience required.
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The industries most looking for AI reseachers are technology and internet, higher education, and research services with the most jobs found in San Francisco, Boston, and Seattle. Some flex work is available as 11% of the positions can be handled remotely and 18.5% in a hybrid mode.
Another job on the list that’s more AI adjacent than AI-specific is Workforce Development Manager. Taking fourth place, this job asks people to design and set up training programs that help employees learn new skills (including AI) and better align them with the needs of the organization. Here, professionals can turn to AI to create their training programs based on specific requirements.
The most common skills needed are program management, program development, and community outreach with around five years of prior related experience. The top industries looking for workforce development managers include non-profits, staffing and recruiting, and business consulting and services. Most of the jobs are in Los Angeles, Columbus, Ohio, and Seattle. And for people who don’t always want to visit the office, remote work is available in 11.5% of the jobs and a hybrid setup in 42% of them.
Though working with artificial intelligence sounds like it would be a straight technology role, that’s not the case. Many of the jobs, such as Workforce Development Manager, are not technical roles but do require some knowledge on how to take advantage of AI.
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“Fascinating to see AI & ML Engineers at #1, but what’s more interesting is the underlying thread across these roles – they’re all focused on either building AI or working alongside it,” said Keystone Talent Group CEO Chris Picariello in a response to LinkedIn’s list.
“As a recruiter, I’m seeing this firsthand: companies aren’t just hiring for technical skills anymore, but for people who can bridge the gap between AI and human insight,” Picariello added. “The key takeaway? It’s not about AI replacing jobs, it’s about professionals who can leverage AI to enhance human capabilities. Those who adapt to this hybrid approach will thrive in 2025 and beyond.”
Of course, LinkedIn’s list is based on jobs found on the networking site’s own platform. To be included in the list, jobs had to have been posted by LinkedIn members from January 1, 2022 to July 31, 2024 to calculate the growth over the years. Further, job titles needed to show significant growth with a healthy number of postings over the past year.