Methodology inspired by FDE programs at
OpenAIAnthropicPalantir

Custom AI Agents for Enterprise.
Built Safely. Deployed Securely.

We deploy Forward Deployed Engineers who build custom AI agents for enterprise โ€” safely, securely, and compliant from day one.

I'm an engineer โ†’

The Reality of Enterprise AI

80%

of AI PoCs fail in production due to security and compliance gaps

34+

Forward Deployed Engineer roles open at OpenAI today

$400B

Palantir built on the FDE model โ€” embedding engineers who own outcomes

48h
First profiles delivered
<2wk
Embedded and running
SOC 2
Audit-ready by design
0
Security incidents

The Enterprise Challenge

Production-ready AI agents require three things.

Security, compliance, and reliability โ€” built in from day one.

Production Reliability

Enterprise-grade infrastructure

Production agents need robust error handling, monitoring, and defensive patterns from day one.

Automated retry logic
Human-in-the-loop checkpoints
Complete observability
Structured output validation
Security Architecture

Defense-in-depth security model

Securing autonomous systems with tool access requires specialized expertise and best practices.

Prompt injection defenses
Least-privilege access
Secure secrets management
Supply chain security
Compliance Framework

Audit-ready from day one

Every agent action must be traceable, attributable, and compliant with enterprise regulations.

GDPR / CCPA compliant
SOC 2 / ISO 27001 ready
Complete action logging
DPIA-compatible

That's what Forward Deployed Engineers do.

We embed them in your team.

The role

Forward Deployed
Engineer.

Palantir invented the title in 2011. OpenAI has 34 open FDE roles today. Harvey has them. Clay has them. The pattern is always the same: a senior engineer who embeds with customers to build custom AI solutions that actually work in production.

For AI agents specifically, the FDE is focused on building custom AI agents for enterprise, safely โ€” from architecture and development to secure deployment with enterprise compliance built in.

Companies using FDEs

OpenAIAnthropicPalantirScale AIHarvey
Marty Cagan

"For deeply technical products โ€” which includes virtually all AI products today โ€” it is the engineers that are the magic."

โ€” Marty Cagan, SVPG (Sep 2025)
7โ€“14 YOEUTC-3 ยท ET+2

Builds custom AI agents

Architects and develops production-grade AI agents tailored to your specific use cases โ€” from workflow automation to intelligent decision support.

Embeds with your team

Works inside your Slack, your standups, your codebase. Not a vendor you call. An engineer who owns the outcome.

Ensures security & compliance

Implements prompt injection defenses, least-privilege access, audit logging, and GDPR/SOC 2 compliance patterns โ€” security first, not as an afterthought.

Owns production deployment

From PoC to hardened production. Monitoring, error handling, retry logic, and observability โ€” ensuring your agents run reliably at scale.

Agent platforms

Four ways to run AI agents.
One engineer who owns all of them.

Your FDE is stack-agnostic. They choose or adapt to the platform your team already uses โ€” and harden it for enterprise production.

OpenClaw

OpenClaw

Recommended for enterprise

Open-source platform with 24/7 autonomous agents. Deploy to your cloud or on-premise. 90+ integrations, persistent memory, complete audit trails.

Multi-agent coordinationOn-prem deploymentFull audit log90+ integrations

Ideal for: Enterprise, regulated industries, SOC 2

LangFlow

LangFlow

No-code / low-code

Visual drag-and-drop agent builder. Non-technical stakeholders can design and iterate on flows without touching code.

Visual flow builderRapid prototypingREST API exportSelf-hosted option

Ideal for: Operations, CS, marketing teams

n8n

n8n

Automation-first

The most widely-deployed enterprise automation platform. Thousands of integrations out of the box.

500+ integrationsSelf-hostedVersion controlWebhook triggers

Ideal for: Enterprise automation, GTM workflows

LangChain

LangChain

Full control

For teams that need custom agent architectures: LangGraph multi-agent pipelines, custom MCP servers, RAG over proprietary data.

LangGraph / LangChainCustom MCP toolspgvector RAGFull code control

Ideal for: Product teams, AI-native companies

Custom Solutions

Production AI agents tailored to your enterprise.

Every solution is built specifically for your workflows, compliance requirements, and business objectives.

Slack
Slackinput
AI Agent
AI Agentprocess
dispatches to
SalesforceSalesforceoutput
GmailGmailoutput
NotionNotionoutput
JiraJiraoutput
GitHubGitHuboutput
Slack
Slack
input
AI Agent 1
AI Agent
process
Salesforce
Salesforce
output
Gmail
Gmail
output
Notion
Notion
output
Jira
Jira
output
GitHub
GitHub
output
Live
WORKFLOW DAG
7
Nodes
Customer onboarding
Challenge

New enterprise customers take 6 weeks to onboard. Your CS team is the bottleneck.

Implementation

FDE builds an onboarding agent that guides accounts step-by-step, syncs status to Salesforce, and escalates blockers to a human only when needed. Onboarding drops to 9 days.

Legal / compliance
Challenge

Your legal team reviews 40 contracts a month manually. Each one takes 3 hours.

Implementation

FDE deploys a contract review agent that extracts key clauses, flags non-standard terms, and populates a risk register. Human attorney reviews the flag list โ€” not the full document.

Incident response
Challenge

On-call engineers get 200 alerts a night. 180 are noise. 20 matter. Nobody sleeps.

Implementation

FDE wires a triage agent that cross-references runbooks, correlates signals, and drafts an RCA before the human is even paged. Alert fatigue drops by 80%.

Internal knowledge
Challenge

Your engineers ask the same questions in Slack 50 times a day. The answer is buried in Notion.

Implementation

FDE builds a RAG agent over docs, Confluence, and Slack history. Engineers ask in natural language. The agent answers with source citations and confidence scores. No more archaeology.

Sales intelligence
Challenge

Your sales team spends 40% of their time on research and CRM hygiene instead of selling.

Implementation

FDE deploys a GTM agent that enriches leads, drafts personalised outreach, and auto-logs every interaction. Sales reps reclaim 12+ hours a week.

Regulated industry
Challenge

Your bank wants to deploy an AI decisioning agent. The CISO and legal team are blocking the deal.

Implementation

FDE architects a fully auditable agent with DPIA-compatible LLM routing, data residency controls, and a complete action log. Deal closes. Compliance team signs off.

๐Ÿฆž
Recommended Platform

OpenClaw โ€” Building AI Agents Safely

Zero blast radius

Sandboxed Execution

Every action runs in isolated cloud containers that self-destruct after each task. Zero risk to local systems or production databases.

  • Ephemeral containers โ€” no state persists after execution
  • Network egress whitelisting per agent profile
  • Read-only filesystem mounts by default
  • Resource quotas enforced at cgroup level
100%container isolation
claude-code ยท anthropicrunning
14:02:11toolTaskRefactor auth ยท anthropic/claude-code
14:02:12toolOpenClaw: read_filesrc/auth/guard.ts ยท 142 lines
14:02:13toolOpenClaw: list_directorysrc/auth/ ยท 8 files
โ–ˆ

How it works

From inquiry to deployment
in under two weeks

We embed Forward Deployed Engineers who build custom AI agents for enterprise, safely and securely.

STEP 01

Tell us your needs

Share your AI agent requirements, tech stack, and timeline. We match you with FDEs from our pre-vetted network within 48 hours.

STEP 02

Meet your FDE candidates

Interview engineers who match your requirements. Technical depth, security fluency, and customer-facing maturity โ€” already verified.

STEP 03

Deploy in under 2 weeks

Your FDE embeds with your team, accesses your systems, and begins building. Amplify handles all payroll, compliance, and administration.

STEP 04

Build secure AI agents

Your FDE architects, develops, and deploys production-grade AI agents with security, compliance, and monitoring built in from day one.

Why Amplify

  • First qualified profiles in 48โ€“72h
  • Engineers screened for enterprise customer-facing maturity
  • English-ready โ€” Brazil timezone covers full US hours
  • Single USD invoice โ€” Amplify handles FX, payroll, compliance
  • No placement fee if the engineer does not perform in 60 days
  • Stack-agnostic: OpenClaw, LangFlow, n8n, LangChain, custom

Ready to get started?

Share your requirements and we'll match you with qualified FDE candidates within 48-72 hours. No commitment, no recruiter spam.

Pricing: $8kโ€“$22k / mo USD per engineer

Contract-to-hire available

FAQ

Common questions.

Everything enterprise buyers and engineering leaders ask before their first FDE placement.

Deploy Secure AI Agents

Build production-ready AI agents for enterprise.

We deploy Forward Deployed Engineers who build custom AI agents for enterprise โ€” safely, securely, and compliant from day one. Share your requirements and get matched with qualified FDEs within 48โ€“72 hours.

  • Build secure, enterprise-compliant AI agents
  • Security & compliance expertise built in
  • First qualified FDE profiles in 48โ€“72h
  • Full audit trails, GDPR/SOC 2 ready
  • Single USD invoice โ€” Amplify handles everything

Prefer email?

Reach us directly at hello@amplifyit.io โ€” we respond within 4 hours on business days.

I need... *
Timeline
Engineering team size

No commitment. No recruiter spam. First profiles in 48โ€“72h.

FDEs | Amplify IT โ€” Forward Deployed Engineers for Enterprise AI