Forward Deployed Engineers (FDE)

A Forward Deployed Engineer is a senior software engineer who embeds directly inside your team to design, build, and ship a solution to a high-stakes problem — owning it from discovery through to production on your own infrastructure. Unlike a consultant who advises or a contractor who fills headcount, an FDE writes production code, leads the relationship, makes real architectural decisions, and is accountable for the business outcome. The model was pioneered by Palantir and is now how OpenAI, Ramp, Deloitte, and Accenture deliver AI at enterprise scale.

It means our FDEs understand why a system needs to be built, not just how. They read the commercial context behind requirements — the board pressure behind a deadline, the procurement constraint behind a security ask, the adoption challenge behind a feature request. This shapes their technical decisions, their stakeholder communication, and how they define success. The result is a system that gets built, trusted, adopted, and renewed — not just shipped on time.

Our FDEs are the primary face of the engagement — they lead stakeholder calls, run weekly updates, manage expectations across seniority levels, and surface risks proactively. They don't wait for a delivery manager to relay feedback. They are the relationship. This is intentional: the person who understands the technical constraints should be the person communicating with the stakeholders who hold the business constraints.

Most FDEs work for a product company and are deployed to make that product work in your environment. WizQuest is product-agnostic: we embed senior engineers to build whatever your business needs, on any stack, with no vendor agenda. Beyond that, we explicitly build business acumen and client ownership into every FDE — not as a bonus trait but as a core requirement. We also pair experienced human engineers with AI agent developers to deliver faster at lower cost while maintaining full quality accountability.

We rebuilt how delivery works. Experienced human engineers direct AI agents that handle boilerplate, test generation, and documentation in parallel — work that inflates cost without requiring senior judgement. Senior engineers own quality, architecture, and every decision that matters. You get more senior output per hour at a fraction of what a US or UK agency charges. Critically: AI agents operate exclusively on staging environments with mock data. Production systems and real user data never touch AI tooling — this is a documented, auditable SOP.

Yes — and we can prove it. AI agents operate exclusively on staging environments with mock or synthetic data. Production systems, real user data, and sensitive business information never touch AI tooling. Every AI interaction is logged and auditable. For regulated industries — healthcare, finance, defence — we also support fully air-gapped on-premises deployments where no external AI services are used at any stage.

You do — completely. WizQuest builds inside your own cloud accounts and your own repositories. When an engagement ends, you keep the keys, the code, the architecture documentation, and the infrastructure. No lock-in, no proprietary runtime that requires WizQuest to continue, and no code only our engineers can maintain. NDA is standard from day one of every engagement.

We scope and produce a delivery estimate within 48 hours of a discovery call. The first sprint typically begins within days of agreement — not the 3–6 months it takes to hire a senior FDE in-house in the USA, Singapore, or Australia. For clients who need to move immediately, we can begin with a compressed discovery sprint and iterate on the full plan as initial work progresses.

Three models: (1) MVP / Proof of Concept — 2–4 weeks, fixed scope, fast validation. (2) Production Implementation — 8–16 weeks, end-to-end ownership from discovery to go-live. (3) Strategic Partnership — an ongoing embedded FDE retainer for teams that want continuous AI-native delivery capability without building it in-house. All three start with a no-commitment discovery call and a 48-hour scoping estimate. No lock-in contracts on any model.