Forward Deployed Engineering for Complex Software & AI
Your problem. Our engineers.
From discovery to production.
Roadmapped helps companies turn complex technical problems into production-ready software and AI systems.
Our Forward Deployed Engineering model combines senior technical leadership with a dedicated engineering pod that works alongside your team, from discovery and architecture through development, integration, deployment, and continuous improvement.
Engineering that moves beyond the roadmap.
Senior engineering · AI & data · cloud · full-stack development
One senior technical lead. An entire engineering team behind them.
A Forward Deployed Engineer works directly with your team to understand the problem, define the technical approach, and drive delivery.
Behind the FDE is a dedicated engineering pod providing the depth required to design, build, integrate, and operate the solution.
One team. One delivery cadence. One accountable technical partner.
AI prototypes are easy.
Production systems aren’t.
Real-world software has existing systems, legacy code, complex data, security requirements, integrations, compliance requirements, and users who need to actually adopt what you build.
Roadmapped puts experienced engineering directly at that intersection.
- 01
Discover
Problem, users, data, and constraints
- 02
Shape
Architecture, scope, and success criteria
- 03
Prototype
Validated on real data and workflows
- 04
Build & Integrate
Production code, wired into your systems
- 05
Deploy
Security, monitoring, and controls
- 06
Improve
Measured against real-world outcomes
We don’t just provide engineers.We take technical problems into engineering.
Three ways to work with us
An FDE-led team that takes ownership from problem to production.
Your FDE works directly with your team while a dedicated engineering pod handles the technical execution.
From ambiguous requirements to production deployment, we help define the problem, shape the architecture, build the solution, and continuously improve it.
A senior team owning a defined product or project.
A senior-led pod takes on a defined project or product line, from architecture through deployment, and reports against milestones rather than individual tickets.
- Architect / Technical Lead
- Senior Developers
- QA Engineering
- Cloud / DevOps as required
Senior engineers embedded into your existing team.
One senior specialist or several. Each joins your standups, your sprint, your tools, and your development process.
You direct the work day to day, the same way you would with an internal engineer.
From problem to production
Discover
Your FDE works directly with your technical and business teams to understand the problem, workflows, users, data, systems, and constraints.
Shape
We translate the problem into a technical approach: architecture, scope, success criteria, and delivery plan.
Prototype
We build quickly against real data and real workflows to validate the approach before scaling it.
Build & Integrate
The engineering pod develops the production solution and connects it to your existing systems, APIs, data, and infrastructure.
Deploy
We take the solution into production with the required security, monitoring, testing, and operational controls.
Improve
The FDE stays close to your team while the engineering pod continuously improves the system based on real-world usage and measurable outcomes.
Engineering depth behind every engagement
Your FDE doesn’t work alone. Behind every engagement is a multidisciplinary engineering team that can move from architecture to production without handing work across multiple vendors.
Full-stack & backend
Node · .NET · Java · Python
PostgreSQL · MongoDB · MySQL · MS SQL
REST · GraphQL
Senior engineers who own features and services end to end, from API design and data models through to production interfaces.
Explore Software engineering →AI/ML & LLM integration
Agent Orchestration
MCP · Tool Calling
Evaluation · Fine-tuning
Engineers who take AI capabilities beyond prototypes and into production systems that customers and teams actually rely on.
Explore AI & LLM engineering →Data engineering
PostgreSQL · Redshift · Oracle
ETL / ELT
Real-time analytics · BI dashboards
Data engineering built for production workloads, not just reporting.
Explore Data engineering →Cloud & DevOps
Docker · Kubernetes
Terraform
CI/CD · Monitoring · Observability
Infrastructure and platform engineering designed to keep production systems reliable, secure, and scalable.
Explore Cloud & DevOps →Built for real-world engineering problems
Six of the 13+ systems our engineers have shipped to production. See all shipped work →
Patient engagement platform
HIPAA ReadyHIPAA-ready intake, EMR/EHR integration across two systems, telehealth, and scheduling.
synchronized
Clinical practice operating system
Distributed LocksAn end-to-end platform taking a patient from AI-driven intake through booking, chairside charting, and billing on one record.
by design
Natural-language data workspace
RAG PipelineAn AI-powered workspace letting non-technical teams query enterprise data in plain language, with instant BI dashboards and document analysis.
enforced
AI website support & lead qualification
Agent RoutingA grounded AI assistant that resolves routine support questions, captures qualified leads mid-conversation, and routes buying-intent visitors to sales.
coverage
Spatial analytics at scale
Kafka / WSA streaming architecture ingesting live location data from over 23,000 vehicles concurrently, with low-latency dashboards for fleet operations.
streamed live
Audit-grade compliance platform
Audit TrailA data platform cross-referencing user records against government datasets, with workflow and audit trails designed for formal review.
workflow
Engineering ownership, not just engineering capacity.
Every engineer on our team has shipped production software. We combine customer-facing technical leadership with deep engineering capability across software, AI, data, and cloud.
Proven across industries
When you need more than developers.
- You may already have engineers.
- You may already have a product team.
- You may even have an AI strategy.
What you may not have is the engineering capacity and technical ownership required to turn a complex problem into a production system.
That’s where Roadmapped comes in.
Tell us what you’re trying to build.
A short conversation is enough to understand the problem, the systems involved, and the team required to move it forward.