Forward Deployed Engineer (FDE) - the hottest job in AI
I did it for 16 years before the name existed.
The demand is vertical:
224 open FDE roles across 39 companies as of late May, Palantir, OpenAI, Anthropic, Mistral, Cohere, vacancies up 800% year over year.
The reason for the demand is the most honest stat in AI:
MIT study reviewed 300 corporate AI projects and found 95% produced no measurable P&L impact.
The models work.
The demos impress.
❌ Production is where it all dies.
I ran an implementation consulting firm for 16 years, deploying ERP at PhosAgro, MMK, Rostelecom, General Electric.
The dirty secret of enterprise software was always the same:
✔️ Technology is 20% of the project.
✔️ The other 80% is people, processes, and the politics of change.
AI didn't change that equation. It made it worse, because now the demo takes a day and everyone believes the hard part is done.
What an FDE actually does, understand the client's process, design the solution, drag it through resistance into production, is what implementation methodology has done for decades.
Same discipline, new product. ERP then, AI systems now.
The scarcest skill in AI (Claude, ChatGPT) isn't model knowledge.
It's methodological thinking:
taking a system from a working demo to a process people actually run.
Researchers built the models. Now the market needs people who can make them land.
Anyone can get Claude to write a trading bot in an afternoon.
Surviving one is the skill nobody teaches.
I built delta-neutral funding bots with Claude and lost real money to bugs that never threw an error, they reported success in green text while the position bled.
Just published the field manual. 9 lessons, each with the exact pattern to steal:
✅ reduce_only or the bot flips you long
✅ order_status lies, verify the position with retries
✅ your PnL log counts deposits as profit
✅ isolate the wallet like you expect the key to leak
The failure mode is silent. 👇