Revolent · AI Forward Deployed Engineer Careers Program
You already ship production software. Now ship it at the frontier of AI.
Revolent’s hands-on, in-depth training program for proven engineers to become AI Forward Deployed Engineers (FDE). Training spans 6-8 weeks, depending on candidates’ prior experience and is followed by customer placement to grow real-world expertise. No deep AI or ML background required.
Hands-on & intensive
4-12 weeks
No deep AI background required
Max 15
particiants per course
Building the AI was never the hard part. Deploying it is.
Models work in the demo. Making them work inside a real business with messy data, sceptical stakeholders and production constraints is where most enterprise AI stalls. The Forward Deployed Engineer is the role that closes that gap: the person who embeds with a customer and ships AI that actually lands. It’s one of the fastest-growing, best-paid roles in technology and the world’s leading AI companies need it to scale safe, effective deployment. This program is your route into it.
A career pathway, not a course you pay for.
1
You join Revolent
Become a Revol and begin a structured training program with a clear path to on-site deployment.
2
You cross-train
Complete in-depth training of 6-8 weeks, depending on your prior experience, to build a deployed, evaluated and documented capstone portfolio.
3
You're placed
Embedded on-site with a world-leading AI lab’s team, still as a Revolent employee for up to two years.
4
You grow
We keep developing you during your placement, allowing you to earn additional certifications.
5
You convert
Four in five Revols convert to their client’s team permanently. Strong performance is the path to a permanent role, a proven outcome, though not guaranteed for any individual.
The commitment, plainly:
Training starts with a two-week trial period. After that, if you leave during your placement period of up to two years, you repay the costs associated with the training you’ve received. Our Talent Acquisition team will discuss the details with you before you commit.
How we train you
An in-depth, hands-on initial training program spanning 6-8 weeks depending on prior experience — full-time and intensive. Every week ends in something built, evaluated and defensible. You leave with a deployed, documented portfolio, not a badge.
6-8 weeks
Hands -on
No deep AI background required
Max 15
Instructor-led
AI & LLM foundations
What these systems can do and how they fail
GenAI & agentic engineering
Evaluation, observability & safety
The latest AI tooling
We train in a variety of leading models and tools, prioritizing practical application
Production deployment & LLMOps
Customer discovery & scoping
Real-world capstone project
Certification is built in: Achieve an industry-recognized AI architecture certification during training and leading cloud AI certifications afterwards.
What FDEs do
You embed directly with an AI lab’s most strategic enterprise customers, building production AI applications, not demos. Day to day, that’s four main areas of responsibility.
Run technical discovery
Ship into live systems
Put production artefacts, agents, tool integrations and evaluation frameworks into the customer’s real environment.
Prove it, then harden it
Close the loop
Does your profile fit?
This program is for experienced hands-on technology professionals with high agency and proven customer delivery/ consulting success, typically senior software or data engineers, tech leads or engineering leads with 5+ years’ experience. No deep AI/ML background required; we train the AI layer.
- Shipped production software that survived real users (5+ years)
- Led people, projects or workstreams, not only as an individual contributor
- Managed clients, executives or risk/compliance functions directly
- Argued in money, not just code — business cases, ROI, scope and change control
- Asked why a system is being built, not just how
- Built production-grade Python, Git discipline, REST/JSON APIs and auth patterns
- Shipped to a major cloud platform; comfortable with containers and messy real-world data
- A recent graduate, we cross-train experienced engineers
- Pure research scientists
- Non-technical consultants — the hands-on bar is non-negotiable
- Strong individual contributors with no leadership, delivery or commercial track record
Progression is fast by design.
As an FDE, strong performers become visible quickly. The work is high-stakes and highly valued and total compensation grows substantially with seniority, with equity a growing share at senior levels.
Indicative total compensation (US market, confirmed at offer): entry-level FDE from the low-to-mid six figures; senior/ staff levels considerably higher. Figures vary by market and are set out in your offer.
- Forward Deployed Engineer
- Senior / Principal FDE
- Head of Applied AI · People leadership
- Global Architecture Lead · Technical track
Five stages, each built to mirror real FDE work.
1
Screen
Your background, including your technical, delivery and commercial expertise.
2
Take-home build
A working service over messy data, plus a brief for a non-technical stakeholder.
3
Defense
We probe your decisions, then extend the build live.
4
Solution design
An open customer scenario: discovery then design for cost and risk.
5
Deep dive
Live coding and architecture Q&A, closing on leadership and delivery scenarios from your own experience.
You’ll hear back within three weeks of your final stage, and every candidate in our interview process gets real feedback.
FAQs
The honest answers
Do I need AI or ML experience?
No. If you can ship production software, we add the AI layer during the program.
Is the permanent role guaranteed?
No. Placement is part of the pathway and a permanent offer is the intended outcome based on your on-site performance, not a guarantee.
What's the commitment?
You will need to commit to the full training course plus up to two years of on-site placement. There is a two-week trial period so you can determine if the program is right for you. Your Talent Acquisition contact walks you through the exact terms before you commit.
Where is it based, and is there travel?
Placement is on-site with the customer’s team, and travel to customer sites is part of the role. Specifics are confirmed during the interview process.
English 
German 
French 
Spanish