Forward Deployed Engineering AI Systems Engineering Customer Deployment Agentic MCP Workflows Air-Gapped Private VPC

Forward Deployed Engineer (FDE) AI Systems Studio

Bridge the gap between raw AI capability and mission-critical enterprise production. Discover real business problems, architect agentic workflows, deploy into air-gapped private VPCs, and enforce continuous evaluation, observability, and safety.

Discovery to PoC Cycle

14 Days

-72% delivery acceleration

Air-Gap Security Gate

100% Attested

zero external egress

Agentic Task Success

94.8%

verified on golden dataset

Enterprise Client ROI

$420,000

annualized efficiency savings

⚙️ FDE Deployment Parameters Live Generator

Client Industry Archetype

AI Architecture Paradigm

Target Deployment Environment

Security & Compliance Gate

Production Evaluation Harness

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FDE Client Value Engineering

Forward Deployed Engineers reduce enterprise AI abandonment from 85% to under 4% by embedding directly with client teams, deploying into existing security perimeters, and proving verifiable ROI before day 30.

Speed-to-Production:14 Days (vs 6 Mos)

CISO Sign-Off Rate:100% First-Pass

Client SLA Guarantee:99.5% Uptime

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Forward Deployed Engineering Terminal Emulator

Quick Actions: • • • •

$ # FDE terminal session ready. Enter command or click above.

Laboratory Modules

Industry-Ready FDE Practical Labs

Five hands-on simulations replicating real-world enterprise customer deployments.

5 Guided Drills

LAB 01 Discovery

Customer Problem Framing

Convert messy executive requests into an air-tight technical specification with measurable business ROI and technical constraints.

# Input: "Our analysts take 3 hours per claim"

✔ Output: SLA < 90s, PII-scrubbed RAG with Postgres audit

LAB 02 Agent Architecture

Enterprise Agentic MCP Swarm

Design multi-agent tool swarms using Anthropic Model Context Protocol (MCP) to safely query client databases and ERP backends.

# MCP Bridge: JSON-RPC 2.0 over SSE

✔ Zero static credentials stored in agent prompts

LAB 03 Deployment

Air-Gapped Private VPC Sandbox

Package and deploy containerized AI systems into zero-egress Kubernetes clusters using Helm, vLLM local weights, and private registries.

# Air-Gap Check: Deny 0.0.0.0/0 egress

✔ 100% internal cluster communication verified

LAB 04 Security & Safety

OWASP Guardrails & PII Scrub

Intercept prompt injections, redact patient/customer PII with local Presidio models, and enforce strict execution sandboxing.

# Threat Vector: LLM01 Prompt Injection

✔ Sub-reflex blocker terminates request in <4ms

LAB 05 Evals & SLA

Customer Acceptance Testing (CAT)

Build and execute synthetic evaluation test suites with Ragas and DeepEval, proving faithfulness > 95% and P99 latency < 2s.

# Acceptance Gate: 100 Golden Scenarios

✔ Faithfulness: 96.4% | Hallucination: 0.8%

LAB 06 Production Handover

SOW & Day-2 Client Handover

Craft enterprise Statements of Work (SOW), Architecture Decision Records (ADRs), and train client engineering teams for seamless Day-2 ops.

# Delivery: 5-Phase Deployment Lifecycle

✔ Full runbook and Prometheus alerts delivered

Architectural Blueprint

End-to-End Forward Deployed Engineer Lifecycle

Enterprise Engagement Loop