FieldsArtificial IntelligenceForward Deployed Engineer
Forward Deployed Engineer
Embed with customers to deploy and adapt AI systems against real-world constraints.
Career
The journey
What you learn
- Discovery that finds the problem behind the request
- Deployment into someone else environment, with their constraints and security
- AI systems adapted to real customer data rather than to a benchmark
- Value proven in the customer own numbers, honestly
What you will understand
- The demo is not the deployment
- Scope, speed, and quality as a trade stated out loud rather than hidden
- Why a system that works in your environment may fail in theirs
- The handover that leaves a customer stronger rather than dependent
What you will build
- A full engagement from scoping through cutover with a rollback that was genuinely available
- A value case where every number traces to something you measured
- The proof you build
Evidence that you can land an AI system inside a real organisation and leave their team stronger than you found them.
Related capability paths
What is not live yet
The desktop app, consent-based observation, scoring, and credentials are in development. Nothing here implies they are live yet.
Get early access