Artificial intelligence isn’t just a technological revolution. It’s a workforce one too. Behind every chatbot, recommendation engine, and image generator lies a powerful network of human talent. But who are the individuals architecting the future of generative AI? Where do they live, who employs them, and who's on the hunt to hire them next?
This week’s Lightcast Data Snack takes a focused look at the talent shaping the world’s most transformative technology. With nearly 40,000 specialized AI engineers now working across the U.S., we’re using Lightcast labor market data to highlight the people and places powering the AI boom.
How Many AI Engineers Are There?
According to Lightcast profiles data, now powered in part by our Rhetorik acquisition, there are approximately 40,000 professionals in newly defined AI engineering roles across the United States. These roles aren’t just general tech jobs; they’re dedicated, specialized positions that reflect how rapidly AI has evolved into a distinct career path.
Thanks to the Lightcast Occupation Taxonomy, we can dig into these roles.
The majority of these professionals are classified as Machine Learning Engineers, followed closely by Artificial Intelligence Engineers. Together, they represent the core of today’s AI-building workforce. It’s worth noting that the Lightcast Occupation Taxonomy (LOT) includes these detailed roles. Many other frameworks still lag behind in recognizing AI specialization.
Where Are These Engineers Located?
Unsurprisingly, AI talent is concentrated in the country’s major tech hubs.
San Francisco, New York, and Seattle top the list as home to the highest number of AI engineers. These cities have long been magnets for innovation, offering dense ecosystems of venture capital, research institutions, and technology giants.
Some other cities seeing a rise in employment for specialized AI engineers include Boston, Los Angeles, San Jose, and Austin.
But even in these hotspots, the absolute number of AI engineers is surprisingly small. The field remains both elite and competitive, and the even rarer segment of generative AI engineers is smaller still.
This scarcity adds to their value. As demand for generative AI technology accelerates, the hiring pressure on this specialized workforce is growing rapidly.
Who Employs the Most AI Engineers?
The answer here is fairly expected. Large tech companies like Amazon, Meta, Apple, and Google are leading employers of AI engineers.
Some other companies employing specilized AI engineers include Nvidia, Microsoft, LinkedIn and TikTok.
Their employment of AI talent underscores their commitment to staying at the forefront of innovation. Whether it’s training foundation models, optimizing neural networks, or integrating AI into core products, these companies have placed skilled engineers at the center of their strategy.
And it’s not just about having the engineers on board… These tech companies are still in the process of expanding their teams.
Who’s Hiring AI Engineers Right Now?
The same companies employing the most AI engineers are also the ones most aggressively recruiting more.
Amazon, Meta, Apple, and Google again top the list of current job posters for AI-related roles. That combination of existing infrastructure and ongoing growth positions them as long-term leaders in the generative AI space.
But while the spotlight shines on big tech, many smaller firms, startups, and enterprises in adjacent sectors are also beginning to hire AI talent. Industries like finance, healthcare and logistics are also racing to apply generative AI to their products and services.
This rising demand only intensifies the need for clear, structured data on who these workers are, what they do, and how to find them. Which is where Lightcast comes in…
Want to Know Who Employs Generative AI Engineers?
One of the most intriguing data frontiers in this space is identifying who employs the generative AI engineers, specifically the subset of the AI workforce responsible for building the tools we interact with daily, such as image generators or LLMs.
Thanks to Lightcast’s acquisition of Rhetorik and the expanded insight it brings, we’re able to go deeper than ever before. Our data doesn’t just highlight where the AI jobs are—it identifies the exact companies shaping the future of generative tech.
About Data Snacks
Data Snacks is an ongoing series from Cole Napper, VP of Research & Thought Leader at Lightcast. Every week, we deliver bite-sized, data-driven insights into the labor market, highlighting the trends, talent, and technologies shaping the future of work.
