FDE Path
Forward Deployed Engineering
Visual Roadmap
10 stages · click any stage to jump
Software Engineering
Clean Python, async APIs & typing
AI Engineering
LLMs, embeddings & model APIs
Technical Discovery
Scoping client pain points & data audits
Solution Architecture
Enterprise topology & security boundaries
Rapid Prototyping
Building 48-hour interactive POCs
Customer POC
Pilot deployments & acceptance testing
Production Deployment
Kubernetes, scaling & telemetry
Enterprise AI Security
VPC endpoints, IAM & audit trails
Client Integration
Legacy ERP/CRM data connectors & ETL
FDE Capstone
End-to-end client delivery simulation
Overview
Work at the intersection of customer, product, engineering and AI. Master discovery, solution architecture, rapid prototyping, customer POCs, productionisation and enterprise AI deployment.
Learning outcomes
- Run effective technical discovery with enterprise stakeholders
- Design resilient solution architecture under real security constraints
- Ship customer-specific POCs rapidly in 48-hour turnarounds
- Productionise bespoke implementations into Kubernetes clusters
- Manage customer security reviews, IAM roles, and SOC2 compliance
Stages
Series in this path
Technical Discovery & Client Scoping
IntermediateStakeholder interviewing, data readiness audits, and ROI feasibility estimation
Enterprise Solution Architecture & Security
AdvancedCloud VPC topology, air-gapped models, tenant isolation, and SOC2 compliance
Rapid Client Prototyping & POCs
Advanced48-hour prototype builds, acceptance criteria, and stakeholder demos
Enterprise Production Rollout & Scaling
ExpertKubernetes clustering, latency SLA guarantees, monitoring, and failover