What is a forward-deployed engineer?

A forward-deployed engineer (FDE) is an AI engineer who works embedded alongside your team to build AI solutions in your real environment, rather than remotely delivering a spec. The model, popularised by firms like Palantir and OpenAI, prioritises shipping working software with the customer over hand-off documents.

How is an FDE different from a normal consultant?

A traditional consultant advises and hands over a report; a forward-deployed engineer sits with your team and builds. FDEs write the automations, connect the systems and solve problems in real time, transferring capability to your people as they go.

Why hire forward-deployed engineers in Malaysia?

Because it is the fastest way to get real AI capability in-house. Instead of waiting months for a vendor deliverable, an embedded engineer ships working AI with your team in weeks and leaves them able to maintain and extend it.

What do your forward-deployed engineers build?

AI automations and agents, integrations between your systems and LLMs, retrieval-augmented (RAG) assistants over your data, and custom workflows in n8n, Claude and Copilot — whatever moves your highest-value use case forward fastest.

Is this available to Malaysian SMEs?

Yes. We scope engagements to fit SMEs as well as larger enterprises, and the training component is HRDC-claimable up to 100% for eligible employers, which makes embedded AI engineering far more accessible than it sounds.

Forward-Deployed AI Engineers in Malaysia

Forward-deployed AI engineers

The fastest way to get real AI capability in-house. We embed engineers alongside your team to build working AI in weeks — not a report in months — and leave your people able to run it.

Book a consultation 1,500+ trained · 300+ organisations

The best way to adopt AI is not to buy a deliverable — it is to build one with your own team. That is the idea behind the forward-deployed engineer (FDE): an AI engineer who works inside your organisation, shipping working software alongside your people. It is the delivery model that pairs with our AI consulting, and it is how capability actually transfers.

Two ways to get AI built

What a forward-deployed engineer does

Rather than gathering requirements and disappearing, an FDE sits with your team and builds — the automation, the integration, the agent — solving real problems in your real environment. The FDE role has become one of the most sought-after in AI precisely because it ships results; we wrote about it as a career in the AI role nobody trained for.

Why embedded beats outsourced

A remote vendor deliverable arrives late and leaves you dependent. An embedded engineer ships in weeks and, crucially, transfers the skill as they go — your team watches, learns and takes over. When the engagement ends, the capability stays.

What we build

AI automations and agents, integrations between your systems and LLMs, retrieval-augmented (RAG) assistants over your own data, and custom workflows in n8n, Claude and Copilot — prioritised by whatever moves your highest-value use case fastest.

Capability that stays

Every embedded engagement includes HRDC-claimable upskilling for the team working alongside our engineer, so the knowledge is designed to remain in-house. For the developer skills behind the role, see our AI Engineering training.

How an embedded engagement actually runs

A forward-deployed engagement is deliberately hands-on. The engineer works with your people — pairing on the first automation, wiring up the integration, building the RAG assistant over your data — while your team watches, asks and gradually takes the keyboard. By the end they are not holding a manual; they have shipped something and can ship the next thing. Engagements are scoped to fit SMEs as well as enterprises, and the upskilling built in is HRDC-claimable, which is what makes embedded AI engineering realistic for Malaysian mid-market teams, not just large ones.