Forward Deployed Engineer (FDE) Program
For consulting firms and enterprises building the capability to carry discovery through production on client-facing AI engagements
Program Overview
What This Program Covers
The Forward Deployed Engineer program equips engineers and consultants with the skills to work directly inside client environments — carrying AI initiatives from initial discovery all the way through production delivery. As enterprises shift from AI strategy to AI execution, the demand for practitioners who can design, build, and deploy production-grade AI systems in real client environments has never been higher. This program builds that capability — combining enterprise AI engineering, agentic systems, cloud architecture, and client delivery skills into a single practitioner-led program built for the modern consulting environment.
What You'll Learn
- 1Design and deploy production-grade agentic AI systems in real enterprise client environments
- 2Carry AI engagements from discovery through production without handoff gaps or value loss
- 3Build and orchestrate AI agents, RAG pipelines, and enterprise AI workflows
- 4Translate complex business requirements into scalable, production-ready AI solutions
- 5Apply cloud architecture and data engineering principles to AI delivery engagements
- 6Work directly with client stakeholders to align AI systems to real business outcomes
- 7Build reusable delivery frameworks and playbooks that compound expertise across engagements
Outline
Program Snapshot
Module 1 — The Forward Deployed Engineer Model
- ›What FDE means in practice: carrying discovery through production in client pods
- ›How the FDE role differs from traditional consulting and software delivery
- ›The modern enterprise AI delivery landscape: from strategy to execution
- ›Building a delivery story that compounds across client engagements
Module 2 — Enterprise AI Foundations
- ›Generative AI and large language model fundamentals for enterprise delivery
- ›Prompt engineering and context management at production scale
- ›AI governance, security, and responsible deployment in client environments
- ›Selecting the right model and deployment architecture for the engagement
Module 3 — Agentic AI Systems and RAG
- ›Designing and building agentic AI systems for enterprise workflows
- ›Retrieval-Augmented Generation (RAG) architecture and implementation
- ›Multi-agent orchestration patterns for complex enterprise use cases
- ›Testing, evaluation, and quality control for production AI agents
Module 4 — Cloud Architecture and Data Engineering
- ›Cloud infrastructure for AI delivery: AWS, Azure, and GCP patterns
- ›Data pipelines, ETL/ELT, and data lake/lakehouse architecture
- ›CI/CD for AI systems: containerization, Docker, and deployment automation
- ›Observability, monitoring, and performance management in production
Module 5 — Client Delivery and Engagement Management
- ›Running discovery sessions that generate production-ready requirements
- ›Stakeholder communication and managing expectations across technical and business teams
- ›Building reusable playbooks and implementation intelligence across accounts
- ›Measuring and communicating business outcomes from AI engagements
Capstone — Live Client Engagement Simulation
- ›End-to-end engagement simulation: discovery through production deployment
- ›Real-world scenario with technical and business stakeholder interactions
- ›Build and present a production AI system against defined client outcomes
- ›Debrief and recommendations for next engagement improvements
Who This Is For
- Software engineers and consultants at consulting firms and system integrators
- AI engineers looking to move into client-facing delivery roles
- Technical leads managing AI implementation engagements at enterprise clients
- Organizations building an internal Forward Deployed Engineering capability
- Anyone preparing for FDE roles at companies like AWS, Databricks, Deloitte, or Accenture
Prerequisites
- Solid programming experience in Python, Java, or similar language
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Basic understanding of software engineering and systems design
- Interest in client-facing technical delivery roles
- No prior FDE experience required
Bring This Program to Your Team
Every bILTup program is fully customized to your team's tech stack, goals, and timeline. Tell us about your team and we'll design something built specifically for you.