Forward Deployed Engineering

Senior engineers who work inside your operation, not alongside it.

Model
Embedded · Outcome-owned
Shape
Solo engineer → deployed pod
Outcome
A system your team owns
Embedded senior engineersProduction code, not slidewareSecurity agreed up frontOn site when it changes the outcomeOne accountable ownerCapability transferred, not retained
What it is

The hard part was never the prototype.

Enterprises are not short on strategy decks or promising pilots. They are short on the engineering that turns one into the other — inside a real environment, against real data, under real governance. A forward deployed engineer starts by sitting with your operators, writes code in your environment, and stays accountable until the system is live, adopted and running without us.

Most engagements end with a recommendation. This one ends with software in production that your team owns outright.

On site when physical presence changes the result
Production code in your repositories, under your licence
One named engineer accountable from scoping to handover
The gap this closes

Advisory hands you a plan. Deployment hands you a running system.

The conventional engagement

Advisory at arm's length

Expertise arrives, assesses, and departs. The build remains yours.

  • Requirements gathered through interviews and workshops
  • Deliverable is a roadmap, architecture diagram or business case
  • Implementation handed to a team with different context
  • Success measured at engagement end, not in production
  • Knowledge leaves when the consultants do
Forward deployed

Engineering inside the problem

The person who understands the problem is the person who builds the fix.

  • Requirements discovered by working next to the people doing the job
  • Deliverable is running software in your production environment
  • The same engineer scopes, builds, deploys and supports
  • Success measured by adoption and outcomes after go-live
  • Knowledge transferred deliberately, as a contracted deliverable
Engineering ladder

Three levels of deployment, matched to the ambiguity you need absorbed.

We do not staff by headcount. We staff by how much undefined problem an engineer is being asked to take on — and the level tells you exactly what that engineer is accountable for on day one.

Level 01

Deployed Engineer

Executes inside a defined scope

Ships against a known architecture and a clear brief. Works in your repo, your sprint cadence and your review process from the first week.

Accountable for
  • Feature and pipeline delivery to production quality
  • Integration work against existing systems and APIs
  • Test coverage, instrumentation and deployment hygiene
  • Documentation written as the work is done
Level 02

Senior Deployed Engineer

Owns a workstream end to end

Given a business problem rather than a specification. Translates it into an architecture, builds it, and carries it through go-live and stabilisation.

Accountable for
  • Problem framing directly with business and operations owners
  • Solution design, data modelling and build decisions
  • Security, access and compliance posture of what ships
  • Production readiness, cutover and post-launch support
Level 03

Principal Deployed Engineer

Owns the outcome across the account

Deployed where the problem is not yet defined and the stakes are enterprise-wide. Sets technical direction and leads the pod delivering against it.

Accountable for
  • Multi-system architecture and platform strategy
  • Technical leadership of the deployed pod and your engineers
  • Executive alignment on scope, risk, sequencing and cost
  • Capability transfer so your team can operate independently
Specialisation tracks

Every level runs through one of four disciplines.

01

Data & Platform Engineering

Pipelines, integration and the data foundation everything else depends on — built to survive an audit and to scale past the pilot.

IngestionModellingGovernanceObservability
02

Application & Integration Engineering

The systems your people actually use, and the connective tissue between what you already run. Custom applications, APIs and workflow.

Custom appsAPIsWorkflowLegacy bridge
03

AI & Agent Engineering

Predictive, generative, vision and agentic systems taken past the demo into daily, governed production use — with evaluation and guardrails built in.

RetrievalAgent designEvaluationGuardrails
04

Salesforce Platform Engineering

Deep platform engineering on the CRM your revenue runs on — configured, extended and integrated properly rather than bolted together.

ArchitectureApex & LWCData CloudMigration
How a deployment runs

From first day on site to a system you own.

WEEK 0–1

Deploy

The engineer embeds with the team that owns the problem. No discovery theatre.

WEEK 2–6

Build in the open

Working software against your real data, reviewed by the people who will use it.

WEEK 6–11

Harden

Security, performance, failure modes and compliance handled before go-live.

WEEK 11–12

Cut over

Into production, instrumented and used daily — with the engineer on site.

ONGOING

Transfer

Runbooks, documentation and paired enablement with your engineers.

Where the engineer actually is

We would rather be in the room for the weeks that decide the outcome.

Most firms are deliberately vague about this, because vagueness hides a delivery team you will never meet. So here is the plain version.

On site with your team Distributed, with committed daily overlap
Week 0–1
Deploy
On site
Week 2–6
Build in the open
Distributed
Week 6–11
Harden
Distributed
Week 11–12
Cut over
On site
Ongoing
Run & transfer
Distributed

Why this shape. Discovery and cutover are the two phases that fail over a video call — one depends on watching how work actually gets done, the other on being there when something breaks at 6am. The build phase in between does not improve because someone is sitting in your office, and we will not bill you as though it does.

Commitment 01

The anchor does not hand off

The engineer who sat with your operators during discovery is the engineer writing the code afterwards. No transition to a delivery team who were not in the room — which is the specific point where most engagements quietly lose the plot.

Commitment 02

Committed overlap, not "responsive"

A named block of hours overlapping your working day, every working day, in your tools and your standups. Written into the engagement rather than left to goodwill.

Commitment 03

On site is triggered, not rationed

We agree the triggers up front — a major integration, a cutover, an adoption stall — and the travel is priced into the engagement. Getting the engineer back on your floor is never a change order negotiation.

Engagement models

Three ways to bring an engineer in-house without hiring one.

Deployment shape follows the problem, not a rate card. Most accounts start with a single engineer and expand once there is something working to expand around.

01

Solo Deployment

A single senior engineer embedded with your team to own a defined system end to end. The fastest way to find out whether the model fits your organisation. Typically Level 01–02.

02

Deployed Pod

A senior engineer leading a focused pod of three to six across two or more tracks, with one named owner accountable for the outcome. Typically a Level 02 lead.

03

Embedded Practice

Multiple pods under principal-level technical leadership, working alongside your engineers with capability transfer contracted from the outset. Typically a Level 03 lead.

What we commit to

The terms that make this different from staffing.

01

You own the code

Everything we build lives in your repositories under your licence, written to your standards. There is no proprietary layer you need us to maintain.

02

One named owner

A specific engineer is accountable for the outcome, not an account team. You know their name, and they do not rotate off mid-deployment.

03

Working software early

Something real in front of your users inside the first six weeks. If the direction is wrong, we would rather find out then than at a milestone review.

04

Security handled up front

Access model, data handling and compliance posture agreed before the first commit — not retrofitted during a pre-launch review.

05

Transfer is a deliverable

Documentation, runbooks and paired enablement are contracted work items with dates, not a best-effort afterthought in the final week.

06

An exit we plan for

We define what "your team runs this without us" looks like at the start, and measure against it. Renewal should be a choice, not a dependency.

Common questions

What clients ask before the first deployment.

How is this different from staff augmentation?
Staff augmentation gives you capacity against a backlog someone else wrote. A forward deployed engineer is given a business problem and is accountable for the system that resolves it — including framing the problem, choosing the architecture, and carrying it into production. You are buying an outcome and an owner, not hours against a ticket queue.
Does the engineer work on site or remotely?
Both, in a pattern we will state plainly before you sign. On site for discovery and for cutover; distributed through the build and hardening phases with a committed daily overlap against your working hours. The full shape is set out in where the engineer actually is. The part that matters more than geography: the engineer who sat with your operators is the one writing the code, so nothing is lost in a handoff.
Is this just offshore development with a new label?
It is a fair question to ask, and the honest test is whether the person who understood your problem is the person who builds the answer. In a traditional offshore arrangement they are not — an onsite lead gathers requirements and passes them to a delivery team who were never in the room, and the context degrades at that seam. We do not split those roles. The engineer is accountable for the outcome end to end, and part of the delivery happens from our India practice because that is where the build work is genuinely better served.
What happens to the work when the engagement ends?
It stays with you. Code lives in your repositories, infrastructure runs in your accounts, and documentation and runbooks are written as the work happens rather than assembled at the end. Capability transfer is a contracted deliverable with defined acceptance criteria.
How do you handle security, access and compliance?
Access model and data handling are agreed before any code is written, under your controls and your review. Our practice is appraised at CMMI Level 3 and certified to ISO 27001:2022, and we work comfortably inside regulated environments with existing security review processes and change control.
What size of problem justifies this model?
The useful test is not budget but ambiguity. If you can write a complete specification and hand it to a vendor, a conventional delivery model is cheaper and works fine. If the problem needs to be understood by someone sitting with your operators before it can be specified, this is the model that fits.
Can you work alongside our existing engineering team?
That is the intended arrangement. Our engineers join your standups, your code review and your release process rather than running a parallel track. On longer engagements, pairing with your engineers is how capability transfer actually happens.