$208k
median posted senior pay in the US
EntryMidSeniorStaff+Manager+
Land a forward deployed engineer job. We teach you how.
Search 1,453 roles from 799 companies, refreshed every week, and apply straight from each listing. Then practice the interview on 159 questions with scoring rubrics.
Made by Traversaal.ai, a forward deployed engineering company led by Hamza Farooq, adjunct professor at UCLA and UMN, Stanford Continuing Studies instructor, ex-Google and Walmart Labs. Co-created with Aishwarya Ashok.
Updated 2 Nov 2026 · listings gathered since May, refreshed every week
Latest roles
See all 1,453 rolesCleraEditor’s pickApply
Founding Forward Deployed Engineer
New York City, New York, United States · Mid · 2 Nov 2026
$200kCore FDEGenerative AI
(opens in a new tab)
GoogleEditor’s pickApply
Forward Deployed Engineer IV, Generative AI, Google Cloud
Pittsburgh, Pennsylvania, United States · Senior · 2 Nov 2026
Applied AI / MLGenerative AI
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EYApply
Technology Consulting – TMT – Forward Deployed Engineer – Sr Manager
Dallas, Texas, United States · Senior · 2 Nov 2026
$206k–$428kLeadershipCloud infrastructure
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ArmadinApply
Forward Deployed Engineer
Palo Alto, California, United States · Mid · 2 Nov 2026
Core FDEGenerative AI
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NewRocketApply
Senior Forward deployed Engineers
India, Asia/Pacific · Senior · 2 Nov 2026
Core FDECloud infrastructure
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PrimefoldApply
Forward Deployed Engineer
Germany · Mid · 1 Nov 2026
€100k–€140kCore FDEGenerative AI
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The market at a glance
See the market56%
of the roles are in the US
US 56%Europe 18%India 7%Global 19%
33%
ask for Python, the most-requested skill
Prepare for the interview.
159 interview-style questions for FDE and AI engineering roles. 22 come with the full scoring rubric: what to ask first, what earns the points, and the red flags.
Product & scoping
A stakeholder believes the model ‘connects to the internet’ to answer questions with fresh information. Correct the picture and describe the actual data flow.
(opens in a new tab) AgentsAn agent has access to several hundred tools. Their definitions consume most of the context window before the user’s request is even read. Design a fix.
(opens in a new tab) Cost & scaleYou are designing quota enforcement for a paid LLM API. A single shared account can consume 140 hours of GPU time over a week while never looking abnormal in any one-minute window. Design the limiting scheme and defend the number of limits you chose.
(opens in a new tab)Free talks from people who do the work.
The FDE Build Series, free on YouTube.
Watch the series
Coming up, live on Wed 4 NovObservability and Evals for Enterprise AI Systems, with Aishwarya Ashok. Free.Save a free spot
38 minObservability enables evaluation: how to know your AI actually worksHamza Farooq, founder and CEO of Traversaal.ai, ex-Google and Walmart LabsWatch on YouTube 
50 minEvery rule your agent follows needs a checkGayathri Keerthana (GK), AI consultant, former Amazon Senior PM (ML)Watch on YouTube 
56 minSmarter models won’t fix your system designAbi Aryan, founder of Joule, author of O’Reilly’s LLMOpsWatch on YouTube 
30 minBuilding a contextual AI note-taker that remembers everyoneElie Bassil, an alumnus of our Maven course, on building RecaallWatch on YouTube
More free sessions, recorded on Maven
See all on Maven
Self-paced course · Claude Certified Architect
Practice the exam before the exam.
53 roles on the board name Claude. CCA Pro has three full mock exams for the Claude Certified Architect Foundations exam, scored on the real 100 to 1,000 scale, with every answer explained. Study notes and 100 flashcards cover all five domains.
- 3 mocks of 60 questions
- 720 to pass
- 900 Hamza’s own score
10 questions, no sign-up. An independent course by Traversaal.ai, not affiliated with Anthropic.
Forward Deployed Engineering Bootcamp
Join us live.
Six weeks on Maven with Hamza Farooq. Build four projects end to end, learn how to land the role and pass the interview, and present your capstone at Demo Day.
- Next cohort 14 Nov
- 6 weeks, live
Save your seat
4.9 from 87 ratings on Maven
What the first two cohorts said.
4.9 from 87 ratings on Maven. Every review here is copied word for word, with the reviewer’s own photo.
SwarnavDirector of Technology, PowerOptions★★★★★
When I signed up I didn't expect to learn as much as Hamza taught. While it is drinking through a firehose the value you get out of this bootcamp is unparalleled. I went from not understanding how to build AI agents at all to shipping a production grade solution at the end that still gets used today.
ElieBusiness Lead - Data & Strategy, Digitas - Publicis★★★★★
Hamza’s classes somehow keep outdoing each other. This one was almost unfairly useful. This made the FDE role concrete. Exceptional clarity, depth, and real-world judgment. Assignments felt less like coursework and more like being dropped into the job on Monday morning.
YasminData Engineer, Boeing★★★★★
I’m really glad I took this program. Learning alongside professionals from all kinds of industries made for great conversations, and the content stayed ahead of industry trends. The focus on practical, real-world solutions and solid architectural principles was spot on. The support team was top-notch the entire time—thank you for an incredible experience!
EvaProduct Manager, Huber+Suhner★★★★★
Fantastic bootcamp for anyone bridging product and engineering. As a PM diving deeper into hands-on AI development, I loved how practical the sessions were — building real agents, wiring up observability, and actually shipping something end-to-end rather than just theory. Hamza's teaching style makes complex system design genuinely click.
RajVP of Product, Mozilla★★★★★
This is a systems design course with AI execution. If you're already building production systems with AI, there may be some gaps to fill. If you haven't really built a full blown production application designed for high scale or other, there will definitely be nuggets to learn and experience here.
CharanSr. Software Engineer, Saim Technologies★★★★★
Just the course I needed. Hamza has put together the best team and resources for this. I got to understand how the world of an FDE works in a short time without the stress of finding a path since this course lays it all out for you. Hamza has built an amazing culture and ecosystem around this. I got to interact with industry leaders. I would recommend this 100%.
KellySr. Product Designer, Optimum★★★★★
I really enjoyed this course. It gave me hands-on insight into what Full-Stack Developers do and taught me how to build end-to-end products that are effective and produce high-quality results. By the time I finished, it had sparked a real interest in diving deeper into AI system design and learning how to set up backend deployments properly, skills I'm excited to keep building on.
YashwantAI Product & Platform Head, Manpowergroup★★★★★
Hamza is an excellent instructor who emphasised on agentic harness is what turns promising agents into reliable systems.
KoteshSr. Engineering Manager, Imprivata★★★★★
This is a great course for anyone looking to be an FDE and get exposure to AI. The course covered AI tools, AI agents and how to employ them in applications. A huge part of learning is the hands-on experience and helped in deeper understanding of concepts learned in the classes. Overall, the course helped me build confidence and bridge gaps in my understanding of AI.
RobinProductmanager data, Noblesse Oblige★★★★★
As a productmanager who just started building since the beginning of 2026, Hamza’s courses have been a fantastic experience: hands-on, real builds, great feedback and in-depth knowledge sharing both from the trainers as from my fellow students. Highly appreciated!
SamyCTO, Intain★★★★★
Its really great program and the perspective will change after you complete this program. Work on the all the assignments and pre/post reads.
ShomSoftware Engineer, Bank of America★★★★★
Great course with highly responsive instructors and coaches. Course is constantly updating with the industry.
For companies
We’re forward deployed engineers too.
FDEBench is made by Traversaal.ai. Our engineers embed with your team, prove one use case with a proof of concept on your own data, then take the agent into production. Your team owns the code at handover.