AI pilot to production
The demo works. The operating workflow does not.Connect approved data and systems, evaluate model behavior, and define human review, monitoring and fallback.
Example: permission-aware knowledge search
Hire engineers who work alongside your team,
from the business problem to production.
Move AI pilots, software integrations and customer deployments forward with hands-on engineering grounded in your users, data and operating environment.
For mid-market teams in the United States, Canada and United Kingdom.
The role, explained
A forward deployed engineer (FDE) is a hands-on software engineer who works with your users and technical team to build, integrate and deploy a solution in your operating environment.

A promising pilot is not yet a dependable business capability. An FDE closes the gap between the technology, your existing systems and the people who need to use it.
Not limited to AI. FDEs also work on software integrations, customer deployments and operational tools. For AI, evaluation, human oversight and model monitoring belong in the scope.
The defining feature is close collaboration and delivery responsibility. Location, working-hour overlap and travel are agreed for the engagement.
60-second fit check
Answer four questions. We’ll tell you when a different specialist is the better call.
Fit score · 80/100
Evolving scope, direct user input and multi-system integration are strong signals for the FDE model. Agree production ownership before delivery begins.
A directional guide, not a definitive assessment. Confirm the scope and delivery responsibilities with an engineering lead.
Connect approved data and systems, evaluate model behavior, and define human review, monitoring and fallback.
Example: permission-aware knowledge searchWork with customer users and your product team to adapt the solution, resolve integration issues and prepare a supported release.
Example: enterprise SaaS onboardingConnect APIs, customer data and operational systems around a specific workflow, with testing and ownership agreed upfront.
Example: CRM and operations integrationIllustrative use cases. Confirm the technical scope and requirements for your environment.
A defined backlog, standard rollout or advisory brief may call for a different specialist.
| Role | Best fit | Typical output |
|---|---|---|
| Forward deployed engineer | Evolving requirements, direct user input and complex integrations | A solution built and deployed in your environment |
| Software engineer | A defined product roadmap or development backlog | Product features and reliable software |
| Solutions architect | Architecture and technical direction before the build | An approved design and implementation guidance |
| Solutions engineer | Technical evaluation before a purchase | Demonstrated fit and a validated buying decision |
| Implementation engineer | A standard product configuration or rollout | A configured, integrated and adopted solution |
| Technology consultant | Strategy or a specialist decision | Analysis and a recommended path forward |
Titles vary. Agree responsibilities, deliverables and acceptance criteria in the scope. Swipe horizontally to compare all columns.
Why Wildnet Edge
Engineering capability and delivery safeguards, brought together around your business priorities.
01
Hands-on software, AI and integration skills matched to your environment. Evaluate experience in building, testing and operating production systems.
Build · Integrate · Deploy
02
Direct work with users and your technical team. Translate evolving requirements into practical decisions, with agreed working-hours overlap.
Context · Communication · Judgment
03
A clear business brief, decision owners and acceptance criteria. Review working increments, dependencies and risks against agreed milestones.
Milestones · Reviews · Accountability
04
Agree data boundaries, least-privilege access and IP terms. Plan repository access, operational ownership and knowledge transfer from the start.
Security · Ownership · HandoverSpecialist depth when the work needs it. FDE engagements can draw on our five technology practices.
In Their Words
Quotes are from engineering and product leaders, the people who own the outcome.
“Partnering with Wildnet Edge was a game-changer for our department. Their deep understanding of government processes, combined with cutting-edge AI capabilities, helped us modernize outdated systems with minimal disruption. The result? A faster, smarter, and more transparent public service delivery model.”
“Wildnet Edge truly exceeded our expectations. Their AI-first approach helped us streamline product development and automate key workflows, allowing our team to focus on innovation. Their proactive collaboration and agile execution felt like having a tech co-founder on our side.”
“Working with Wildnet Edge was transformative. They brought deep expertise in AI, cloud, and agile delivery that enabled us to modernize legacy systems without disruption. Their ability to deliver complex solutions at scale made them an essential partner in our digital evolution.”
Engagement models
Choose the commercial model around the clarity of the problem, the ownership you need and how the work is likely to evolve.
Defined deliverables, acceptance criteria and change control. Best when the requirements and dependencies are understood.
Agree the scope before the price.Prioritized work with regular reviews, transparent effort and agreed budget checkpoints. Useful when discovery continues during delivery.
Keep learning and spend visible.An engineer works within your team’s backlog, tools and delivery practices, with management responsibilities agreed upfront.
Clarify who owns delivery.Final scope, staffing, pricing and terms are agreed for your engagement.
From need to delivery
A five-step hiring and onboarding process shaped around your systems, team and delivery priorities.
Clarify the workflow, systems, constraints and what success would mean.
An agreed role brief
Match the technical scope with engineering and customer-facing capability.
Relevant experience
Review profiles against your stack, collaboration needs and availability.
A focused shortlist
Explore a real scenario and agree responsibilities, scope and terms.
A shared delivery plan
Set up approved access, the first milestone and a regular review cadence.
A governed startConfirm availability, procurement and access dependencies before agreeing a start date.
Plan your first milestone →Straight answers
Clear answers on cost, availability, collaboration and control before you commit.
Use our FDE scoping brief to capture the problem, systems, responsibilities and success criteria.
Download the scoping brief No email required · Plain-text templateCost depends on seniority, scope, duration and collaboration requirements. Fixed-scope delivery suits bounded outcomes; time and materials suits evolving work; staff augmentation provides ongoing capacity. Ask for budget assumptions, exclusions and change-control terms alongside the estimate.
Mobilization depends on the required skills, availability, interviews, procurement and approved system access. Agree a realistic start date once those dependencies are understood. No universal start time or delivery timeline is promised.
Wildnet Edge serves businesses in the United States, Canada and United Kingdom. Agree working-hours overlap, review cadence and escalation paths during scoping. Confirm any travel or on-site requirements separately; embedded collaboration does not automatically mean physical on-site delivery.
Agree approved environments, least-privilege access, confidentiality and security reviews before work begins. Define what data may be processed, where it may be stored and whether external AI services may be used. Controls must reflect your systems and applicable requirements.
Define IP ownership, repository access, third-party licensing and confidentiality in the agreement. Confirm the deliverables and access your internal team needs to operate and maintain the solution, including any vendor or platform dependencies.
Set a baseline and acceptance criteria before delivery. Review working increments, integration quality, adoption and operational readiness as relevant. Include documentation, runbooks, knowledge transfer and ongoing support ownership in the delivery plan.
Start with your challenge
Bring the problem, your current systems and the outcome you need. You do not need a finished specification.
Your next useful step
Discuss whether an FDE fits, which capabilities matter and what a sensible first milestone could look like.