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LA
Lab0

AI Forward Deployed Engineer

LocationUnknown
Work moderemote
Typefull-time
DepartmentEngineering
Company size1+ people
First seen2w ago
Verified live4d ago
About the role
AI Forward Deployed Engineer
The AI FDE that isn’tlocked to one platform.
An AI forward-deployed engineer (AI FDE) does the work an FDE does, turning bought software into a working deployment, but as a product, not a person. Lab0 runs discovery, configuration, integration, and testing across the systems your customers actually use. Rollouts go live in weeks instead of quarters. We’re not claiming anything past that.
About the company
Open & multi-platform·3–12 months → weeks·Backed by Y Combinator
Book a discovery call
FDE is the fastest-growing role in tech, because enterprise software has a production problem.
The forward-deployed engineer exists to bridge the gap between software a company bought and software that actually runs. Demand is exploding, but humans don’t scale, and most copycats end up as expensive services businesses wearing a software multiple. The bridge itself should be a product.
+729%
FDE postings, YoY
Indeed data shows forward-deployed engineer job postings grew from 643 in April 2025 to 5,330 in April 2026, a 729% year-over-year surge as enterprise AI hits its implementation wall.
People
Don’t scale
Every new account needs another FDE rebuilding the same discovery, configuration, and integration work by hand. Headcount grows linearly with deals, margins don’t.
Services
Software multiple, services economics
a16z’s “Palantirization of everything” warns FDE-led companies become expensive services businesses priced like software. Productizing the work is the way out.
3–12 mo
Sale to go-live
Discovery, configuration, integration, and testing all get completed by hand before anyone gets value, the gap between purchase and production.
Per-customer
Rebuilt every time
The same implementation workflow is redone from scratch for each new account instead of running like a product that gets faster with every rollout.
Locked
Platform-bound copilots don’t help
An in-platform agent can automate work inside its own tool, but real implementations span ServiceNow, SAP, identity, and custom APIs at the same time.
01Demand for FDEs is spiking, supply can’t keep up
02Human FDEs scale with headcount, not software
03The implementation bridge should be a product
04Real rollouts span many platforms at once
What an AI FDE actually does.
Lab0 runs a standardized agent workflow across discovery, planning, build, and test, encoding best practices with every rollout instead of restarting from zero. The forward-deployed engineering work becomes a product that gets faster the more it runs.
Responsibilities
01
Discover the requirement
Agents gather context across Slack, email, docs, and existing systems, then run AI interviews and process mapping to turn tribal knowledge into a structured implementation plan.
$lab0 discover --scope process,integrations
02
Configure & integrate
Lab0 configures the platform and wires the integrations against your real environment, deterministic where it should be deterministic, AI where judgment is needed.
$lab0 build --configure --integrate
03
Preview, validate & go live
Every change runs as a controlled dry-run before it writes to a customer instance. Validate against test cases, then promote, with approval and rollback staying on your team.
$lab0 validate --dry-run --promote-on-approval
Palantir’s AI FDE runs Foundry. Lab0’s runs your implementation.
Palantir launched an AI FDE that operates Foundry for you, an in-platform copilot. It’s genuinely useful inside Foundry. But it can’t touch ServiceNow, SAP, or the custom systems real rollouts live in. That’s the line: Foundry-native belongs to Palantir; everything else is open.
Dimension
Palantir AI FDE
Open & multi-platformLab0 AI FDE
Operates in
Foundry only, requires AIP enabled.
ServiceNow, SAP, Salesforce, Workday, and custom APIs, the systems your customers actually run.
What it does
Runs Foundry operations for you through conversational commands.
Runs the full implementation: discovery → planning → build → test → go-live.
Lock-in
Locked to the Foundry platform.
Platform-agnostic, works inside the stack you already own.
Who it’s for
Existing Foundry customers.
Any SaaS or enterprise team carrying implementation burden.
Safety model
In-platform agent actions inside Foundry.
Dry-run controlled change previews before anything writes, approval and rollback stay on your team.
One AI FDE, every platform, from enterprise suites to B2B SaaS.
Open and multi-platform by design. Lab0 works against the same consoles your implementation team does, the big enterprise suites and the smaller B2B SaaS and custom APIs your customers actually run, not a single locked-in platform.
ITSM / ITOM
ServiceNow
Dedicated console for ServiceNow configuration and integration, including procurement-intake-to-ITSM flows like Zip → ServiceNow.
ERP
SAP & S/4HANA
Data conversion, custom-code testing, and GRC/security roles for SAP migrations, the work that makes most S/4HANA projects run late.
CRM & HCM
Salesforce & Workday
Configuration, field mapping, and integration across the platforms where enterprise rollouts stall, handled by the same agent workflow.
& everything else
Any B2B SaaS & custom APIs
Smaller B2B SaaS, internal tools, and bespoke APIs too, if it has a console or an API, the AI FDE configures and integrates it. The platforms above are examples, not the boundary.
**Controlled by design.**Every change is previewed as a dry-run development change before it’s applied to a live instance. Approval and rollback stay with your team, and each rollout encodes best practices for the next one.
FAQ
AI FDE, common questions
What is an AI FDE? : An AI FDE (AI forward-deployed engineer) is software that does the work a human forward-deployed engineer does, turning bought enterprise software into a working deployment, but delivered as a product instead of a person. It runs discovery, configuration, integration, and testing across the systems a company already owns, taking rollouts live in weeks instead of months.
What does an AI FDE do? : An AI FDE runs the enterprise software implementation lifecycle end to end: it gathers requirements through AI interviews and process mapping, configures the platform, builds and wires integrations, and validates every change against test cases before go-live. The same standardized agent workflow runs each rollout, so it gets faster the more it runs.
How is an AI FDE different from a human forward-deployed engineer? : A human FDE rebuilds the same discovery, configuration, and integration work by hand for every account, so cost scales with headcount. An AI FDE encodes that work as a reusable product: it standardizes the workflow, runs across many rollouts, and compresses 3–12 month implementations into weeks without adding people per deal.
Is an AI FDE the same as Palantir’s AI FDE? : No. Palantir’s AI FDE operates inside Palantir Foundry. Lab0’s AI FDE is open and multi-platform, it runs implementation across the software customers already bought, including ServiceNow, SAP, Salesforce, Workday, and custom APIs, with no proprietary platform required.
What platforms does an AI FDE support? : Lab0’s AI FDE is platform-agnostic. It works against the consoles an implementation team already uses, enterprise suites like ServiceNow, SAP, Salesforce, and Workday, as well as smaller B2B SaaS, internal tools, and bespoke APIs. If a system has a console or an API, the AI FDE can configure and integrate it.
How does an AI FDE keep changes safe? : Every change runs as a controlled dry-run preview before it writes to a live customer instance. Lab0’s AI FDE uses a deterministic-versus-AI split for where human judgment is needed, and approval and rollback stay with the customer’s team.
Book a discovery call.
If implementation is the gap between your software and its value, give us one of your toughest deployments, across whatever platforms it touches, and we’ll run it end to end. If it’s not a fit, you’ll know fast.
Book a discovery call
[email protected]Lakshya GuptaSujay SrivastavaOnkar Borade
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