AI engineer is the fastest-growing AI job title, and it has held that position for two years running, with newer roles like forward deployed engineer and a range of applied AI positions rising fast behind it. The growth is not confined to research: it spans engineering, product, and customer-facing roles as companies move from experimenting with AI to shipping it. We looked at external hiring data alongside 500+ live European roles to see which titles are climbing.
The theme running through the data is that the titles growing fastest are the ones about applying AI in production, not the ones about researching it in the abstract.
What are the fastest-growing AI job titles?
The fastest-growing AI job title is AI engineer, according to hiring platforms tracking role growth at scale, with applied and product-facing AI roles filling out the rest of the top ranks.
LinkedIn’s Jobs on the Rise analysis ranks AI engineer as the fastest-growing job for the second year in a row, and reports that it added around 75,000 AI engineer roles among hundreds of thousands of AI-related postings over two years. The World Economic Forum’s Future of Jobs Report 2025 likewise ranks AI and machine learning specialists among the fastest-growing roles of the decade, alongside big data specialists.
Which AI titles are most common right now in Europe?
The most common AI titles in Europe right now span engineering, product, and customer-facing roles, which shows how far AI hiring has spread beyond pure research.
Product manager, forward deployed engineer, and AI engineer lead the current mix in our sample, ahead of machine learning engineer and data scientist. The presence of product and solutions roles near the top is the signal worth reading: companies are hiring people to ship and deploy AI, not only to build models. This is a snapshot of what is live rather than a growth curve, but it matches the external growth data, where applied roles are rising fastest.
Why is forward deployed engineer growing so fast?
Forward deployed engineer is growing fast because AI companies need people who can embed with customers and make their models work in messy real-world settings.
The role, popularised by frontier labs and enterprise AI startups, sits between engineering and customer success. A forward deployed engineer takes a general model and makes it solve a specific customer’s problem in production, which is exactly the work that turns AI pilots into paying deployments. In our current European sample, forward deployed roles numbered 37, a striking figure for a title that barely existed a few years ago, and a sign of where applied demand is heading.
The rise of the title reflects a shift in what AI companies are selling. Early in the current wave, the product was the model itself, and hiring centred on building it. As the market matured, the hard part moved to getting models to work reliably inside real businesses with messy data and specific requirements. That is deployment work, and it needs engineers who are comfortable with customers as well as code. The forward deployed engineer is the job that shift created, and its growth tracks the industry’s move from demos to revenue.
| Title | What it does | Why it is growing |
|---|---|---|
| AI engineer | Builds products on top of models | Companies shipping AI features |
| Forward deployed engineer | Embeds with customers to deploy AI | Turning pilots into production |
| AI product manager | Decides what AI products do | Products need direction, not just models |
| ML engineer | Builds and trains models | Steady core demand |
Which fast-growing titles pay and last?
The fast-growing titles that both pay well and look durable are the applied engineering roles, because they sit on the revenue-generating side of AI.
AI engineer and forward deployed engineer combine strong pay with durability, since they exist to turn models into products customers pay for, which is the part of AI under the most commercial pressure to deliver. Lightcast, in its Beyond the Buzz report, found unique postings for generative AI skills rising from 55 in early 2021 to nearly 10,000 by May 2025, and the applied roles absorbed much of that. Titles tied to shipping and deploying are less exposed to research-budget swings than pure research seats.
Durability is worth weighing alongside growth, because a fast-growing title is only useful if it is still there in three years. Roles that generate or protect revenue tend to survive downturns better than roles seen as cost centres. Applied AI engineering sits firmly on the revenue side, which is part of why it has kept growing even as parts of the wider tech market contracted. A title that is both growing and commercially load-bearing is a safer bet than one growing on hype alone.
Which title should you aim for?
The title to aim for is the applied engineering or product role that matches your strengths, because those are growing fastest and sit closest to the work companies most need done.
If you are a strong engineer, target AI engineer or forward deployed engineer, both of which reward shipping over theory. If your strength is direction and communication, AI product management is rising for the same reason. Whatever the title, the common thread among the fastest-growing roles is applied skill: retrieval, agents, evaluation, and the judgement to make a model useful in a real setting. See what is live in AI engineer roles, forward deployed engineer roles, machine learning roles, and AI product management.