Average FDE total compensation
New Program — First in the US
Forward Deployed Engineer Certification
The most in-demand role in AI. Learn to deploy agents inside enterprises — not just build demos. 10-week intensive. $180K–$400K+ career path.
"Forward deployed engineers are about to become one of the most in-demand jobs in tech."
— Aaron Levie, CEO of Box
The Opportunity
Why Forward Deployed Engineers?
The gap between building AI demos and deploying AI inside enterprises is massive — and growing.
Increase in FDE job postings (2025)
US-based FDE training programs (until now)
AI pilots that fail without proper deployment
Who's Hiring
Top companies are competing for FDE talent.
Anthropic · $200–300K
OpenAI · $162–280K
Palantir
Databricks · $180–248K
Scale AI · $179–224K
Box
800% increase in FDE postings. New York and Austin emerging as top hubs.
The Role
What is a Forward Deployed Engineer?
An FDE lives at the intersection of engineering, consulting, and product. They embed with a client, understand their business, and build custom AI systems that actually ship.
"While Devs focus on creating a single capability for many customers, FDEs focus on enabling many capabilities for a single customer."
Forward Deployed Engineer
Deploys custom AI systems on-site. Owns integration, scoping, and stakeholder communication. Ships production agents.
Software Engineer
Builds product features for many users. Deep on code, less on client engagement. Ships general-purpose software.
Solutions Engineer
Pre-sales technical support. Demonstrates product capability. Configures, but rarely builds custom systems.
Curriculum
10 weeks from fundamentals to enterprise deployment.
Phase 1 · Foundations
Python for AI systems, cloud infrastructure, LLM architecture, prompt engineering, and structured outputs.
Phase 2 · Agent Engineering
RAG pipelines, multi-agent orchestration, tool calling, memory patterns, and evaluation frameworks.
Phase 3 · Deployment Patterns
Production hardening, observability and monitoring, security review, CI/CD for agents, and cost optimization.
Phase 4 · Client Engagement
Business process mapping, project scoping, change management, stakeholder communication, and delivery playbooks.
Phase 5 · Capstone
Real enterprise deployment project with a local Austin company. End-to-end: scoping, building, deploying, and presenting.
Tools & Stack
Industry-standard tools you'll master.
Hermes Agent
Nous Research's autonomous agent framework for complex task execution.
LangChain
Composable chains, agents, and retrieval pipelines for LLM applications.
DSPy
Programmatic optimization of LLM prompts and pipelines.
HuggingFace
Open model hub, tokenizers, embeddings, and fine-tuning workflows.
Docker
Containerized deployment for reproducible, portable AI systems.
AWS / Azure
Cloud compute, storage, and managed AI services for production workloads.
GitHub Actions
Automated testing, deployment, and evaluation pipelines.
Anthropic API
Claude models for enterprise-grade reasoning and tool use.
OpenAI API
GPT models, embeddings, and structured output generation.
OpenClaw / Paperclip
Open-source agent evaluation and orchestration tooling.
Who Is This For?
Three paths into the FDE role.
Career Switchers
Engineers with 2+ years in any technical discipline who want to pivot into AI deployment.
- Backend, frontend, or DevOps background
- Comfortable writing Python
- Ready for an intensive career shift
Junior Developers
Recent CS graduates who want to enter the workforce with the most in-demand AI skill set.
- CS degree or equivalent experience
- Strong fundamentals in data structures
- Eager to work at the frontier of AI
Solutions Engineers
Technical pre-sales professionals who want to go deeper — from configuring to building.
- Client-facing experience
- Technical communication skills
- Want to own the full deployment
Prerequisites
Python proficiency, basic cloud familiarity, and an unrelenting hunger to learn. We assess every applicant — no one slips through without the fundamentals.
Outcomes
What you'll walk away with.
Graduates leave with a portfolio of deployed systems, a professional network, and job placement support from day one.
- Deploy production-grade AI agents inside enterprise environments
- Architect RAG systems, multi-agent workflows, and tool-calling pipelines
- Scope, plan, and deliver client-facing AI projects end to end
- Communicate technical tradeoffs to business stakeholders
- Monitor, evaluate, and iterate on deployed AI systems
- Navigate security, compliance, and data governance requirements
Your Portfolio
- 3 fully deployed agent systems across different domains
- Capstone project with a real Austin-based company
- Technical documentation and deployment runbooks
Job Placement Support
- Resume and portfolio review with hiring managers
- Direct introductions to FDE-hiring companies
- Interview prep focused on FDE-specific scenarios
- Alumni network and ongoing career support
Program Details
Everything you need to know.
Mon–Fri, 9 AM – 5 PM. Full-time, in-person intensive.
Small class size for personalized mentorship and real collaboration.
Tuition with payment plans available. Scholarships for veterans and underrepresented groups.
Next cohort start date. Applications reviewed on a rolling basis.
In-person program based in Austin, Texas — a top emerging hub for FDE roles.
Graduate with the first US-based Forward Deployed Engineer certification.
Applications Now Open