FDE knowledge hub

Forward Deployed AI Engineer Resources

Start with the role definition, assess your evidence, learn the deployment lifecycle, compare adjacent roles and prepare for realistic interviews. Every guide is server-rendered, attributable and linked to the same FDE capability model.

01 · Role definition

What is a Forward Deployed AI Engineer?

Responsibilities, coding expectations, adjacent roles and outcome measures.

Read the role guide →
02 · Career roadmap

How to become an FDE in India

Anchor skills, production evidence, portfolio strategy and role-family targeting.

Build your roadmap →
03 · Self-assessment

FDE skills and portfolio checklist

Ten capability domains and an inspectable evidence standard.

Assess your evidence →
04 · Operating model

Enterprise AI Deployment Lifecycle

Eight evidence-gated stages from discovery through optimization.

Explore the lifecycle →
05 · Role comparison

FDE vs Forward Deployed Software Engineer

Where the roles overlap and how their engineering emphasis may differ.

Compare FDE and FDSE →
06 · Role comparison

FDE vs Applied AI Engineer

Customer deployment ownership compared with model-powered product engineering.

Compare the roles →
07 · Interview preparation

FDE interview questions and scenarios

FRAME structure, architecture, evaluation, security, incidents and portfolio defence.

Prepare for interviews →
Editorial boundary: These guides explain capability patterns, not universal employer definitions. They do not promise a job, interview, salary or placement outcome.
At a glance

Forward Deployed AI Engineer Resources

The KDigital FDE knowledge hub connects role definitions, career roadmaps, comparisons, portfolio evidence, deployment methodology and interview preparation.