How Forward Deployed Engineers Work With Your Existing Engineering Team

Quick Answers

1. How does a forward deployed engineer work with an existing engineering team?

A forward deployed engineer joins your existing development process rather than creating a separate one. They work in your repositories, sprints, code reviews, architecture discussions, testing, and deployment workflows while taking ownership of difficult technical problems.

2. What does a forward deployed engineer do with your developers?

They can investigate requirements, design solutions, write production code, review pull requests, debug integrations, participate in releases, and resolve dependencies across teams. The exact responsibilities depend on the initiative.

3. Does a forward deployed engineer replace your internal engineers?

No. Internal engineers retain their product, system, and business knowledge. The forward deployed engineer adds senior technical ownership, specialist experience, and focused execution around a complex initiative.

4. How is a forward deployed engineer different from staff augmentation?

Traditional staff augmentation usually adds capacity against defined work. A forward deployed engineer can also help determine what should be built, challenge requirements, coordinate technical dependencies, and take an agreed outcome through production.

5. When should you hire a forward deployed engineer?

Consider one when a high-value initiative is blocked by unclear requirements, difficult integrations, cross-team dependencies, production issues, or missing specialist expertise despite having an existing engineering team.

How Forward Deployed Engineers Work With Your Existing Engineering Team

Forward deployed engineers embed into the technical environment your team already uses rather than operating through a separate outsourced delivery process.

That can mean using the same repositories, communication channels, sprint process, CI/CD pipelines, staging environments, pull-request rules, monitoring systems, and deployment workflows as your internal developers.

The main difference is the scope of ownership.

An internal engineer may own a product area, platform service, infrastructure component, or data system. A forward deployed engineer is often brought in when an initiative crosses several of those boundaries and no single existing role has the time, expertise, or authority to connect them.

Their work can cover:

• Technical discovery
• Architecture and solution design
• Hands-on development
• Enterprise and third-party integrations
• Code reviews
• Testing and evaluation
• Production deployment
• Troubleshooting
• Documentation
• Knowledge transfer

The engineer still works within your technical standards and internal controls. They add focused ownership around the initiative rather than creating a second engineering organization beside yours.

Why Companies Add FDEs to Existing Engineering Teams

Companies often add forward deployed engineers when an important initiative spans more systems and teams than one internal role can reasonably own.

A product engineer may own the application. DevOps manages infrastructure. Data teams maintain pipelines. Security controls access. Product defines priorities. Business teams understand how the workflow operates in practice.

When one initiative depends on all of them, technical ownership can become fragmented.

AI projects make this problem especially visible. A model can work well during testing while the production system still struggles because:

• Data is incomplete or inconsistent
• APIs behave differently under real traffic
• Permissions block required actions
• Existing systems cannot exchange data reliably
• Evaluation is missing
• Human approval steps were overlooked
• Users do not trust the output
• Nobody owns the full production workflow

But the same problem exists outside AI. Legacy modernization, ERP integrations, cloud migrations, workflow automation, data platforms, and complex SaaS implementations can all become stuck at the boundaries between teams and systems.

The market is moving toward this embedded model. Reuters reported in June 2026 that AWS committed $1 billion to an organization centered on forward deployed AI engineers. The same report cited LinkedIn data showing demand for forward deployed and similar roles had increased 42-fold between 2023 and 2025. (1)

The demand is increasingly for engineers who can connect technical execution across those boundaries and remain involved until the system works in the real environment.

What Does a Forward Deployed Engineer Do Day to Day With Your Team?

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A forward deployed engineer works much like an embedded senior engineer. Their schedule depends on the project, but the work usually combines hands-on engineering with direct access to the people, systems, and workflows involved in the problem.

During a typical week, they may:

• Join standups, sprint planning, and technical reviews
• Work directly in your existing codebase
• Build and review production code
• Investigate APIs, data flows, infrastructure, and integrations
• Pair with internal engineers on difficult implementation work
• Speak with product or business teams when requirements are unclear
• Debug issues across application, cloud, data, or third-party systems
• Support testing, releases, monitoring, and production troubleshooting
• Document architecture decisions and reusable engineering patterns

This close working model helps the engineer identify issues that may never appear in a backlog ticket, including undocumented business rules, unusual customer workflows, integration edge cases, and production constraints.

How a Forward Deployed Engineer Integrates With Your Engineering Team

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Good FDE team integration starts before development begins.

The engineer first needs to understand how your company makes technical decisions, how software reaches production, who owns the systems involved, and which constraints cannot be changed.

OpenAI's current description of its own forward deployed engineering role covers a similar lifecycle: discovery, technical scoping, system design, build, production rollout, adoption, and reusable patterns that can support future deployments. (2)

A typical engagement can be understood through six stages.

1. Technical Discovery Comes Before Ticket Assignment

A forward deployed engineer starts with the problem and expected outcome before treating the backlog as the complete specification.

Technical discovery may include:

• Speaking with engineering, product, operations, and business teams
• Mapping the current workflow
• Reviewing repositories and system architecture
• Assessing APIs and third-party integrations
• Understanding infrastructure and deployment requirements
• Checking security and access constraints
• Reviewing available data
• Defining the expected business outcome
• Identifying assumptions that need validation

This gives the engineer enough context to challenge requirements when the proposed implementation does not match the underlying problem.

It also reduces the chance of your development team spending several sprints building against incomplete assumptions.

2. The FDE Integrates Into Your Workflow and Codebase

Effective FDE team integration means using the engineering systems your team already relies on rather than creating a parallel delivery process.

Depending on the engagement, the engineer may work inside:

• Jira, Linear, ClickUp, or your current backlog
• GitHub, GitLab, or Bitbucket
• Slack or Microsoft Teams
• Existing CI/CD pipelines
• Development and staging environments
• Approved production environments
• Pull-request and code-review processes
• Standups and sprint reviews
• Technical planning sessions
• Incident and production-support workflows

Code access should follow the same controls applied to other engineers working in your environment.

Before development begins, define:

1. Which repositories the engineer can access
2. Which environments they can use
3. Branch and pull-request rules
4. Internal coding standards
5. Testing requirements
6. Security review requirements
7. Who approves production changes
8. How architecture decisions are documented

The engineer should work within the engineering system your team already trusts. If they recommend changing an internal standard, the tradeoff should be discussed and documented rather than introduced without context.

3. Clear Ownership Is Defined Early

Embedded engineering becomes difficult when everyone is involved but nobody knows who owns the final decision.

The FDE and internal team should agree early on who owns discovery, implementation, reviews, deployment, existing systems, and production support.

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The exact split will differ by engagement.

What matters is making technical ownership visible before development speeds up.

4. Forward Deployed Engineers Build With Your Team

A forward deployed engineer should work directly with internal developers rather than disappearing into a separate delivery process.

Collaboration can include:

• Pair programming
• Architecture discussions
• Shared technical design sessions
• Pull-request reviews
• Joint debugging
• Integration testing
• Release planning
• Production troubleshooting

Consider a SaaS company adding an AI agent.

Internal engineers may continue owning authentication, billing, customer accounts, infrastructure, and the core product.

The forward deployed engineer could focus on:

• Agent architecture
• Retrieval and context pipelines
• Model integration
• Tool calling
• Evaluation
• Permissions
• Human approval workflows
• Failure handling
• Observability
• Production optimization

For a non-AI project, the same pattern could apply to a difficult payment integration, legacy migration, cloud transformation, or cross-platform workflow.

The existing team brings deep product and organizational context. The FDE brings focused delivery ownership around the initiative.

5. FDEs Participate in Sprint Planning Without Becoming Ticket Takers

A forward deployed engineer can participate in your backlog and sprint process without treating every ticket as a fixed specification.

Suppose a backlog item says: “Add AI search to customer records.”

Before implementing it, the engineer may ask:

• Which users need access?
• Which records can each user search?
• What questions do users actually ask?
• Is semantic search necessary?
• What should happen when confidence is low?
• How current must indexed data be?
• How will search quality be evaluated?
• What happens when source records are changed or deleted?

Those answers may change the architecture before unnecessary work is built.

This is one reason companies use forward deployed engineers for technically ambiguous initiatives. The engineer can help shape the solution while remaining part of the same planning and delivery process as the internal team.

6. Production Rollout, Feedback, and Knowledge Transfer

The work continues after the feature or system has been built.

A forward deployed engineer should help move the agreed scope through testing, release, production monitoring, and early operational issues.

That can include:

• Deployment planning
• Production validation
• Monitoring and observability
• Failure and rollback planning
• Fixing problems found by real users
• Updating architecture based on production feedback
• Writing runbooks and technical documentation
• Walking internal engineers through operational decisions

Production use often exposes assumptions that were invisible during development.

Those lessons should feed back into the implementation while the engineers who will eventually own the system remain involved.

How Ownership Changes During a Forward Deployed Engineering Engagement

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A forward deployed engineering team should increase the capability of your internal team over time. Responsibility typically shifts as the problem becomes clearer, the system reaches production, and internal engineers gain enough context to operate it themselves.

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The timeline depends on the project.

The underlying principle is more important: knowledge transfer should happen while the work is being done.

AWS describes this transition in its own FDE model as customer engineers moving from observers to co-builders and eventually independent operators. Its June 2026 announcement also states that customer self-sufficiency is designed into the engagement rather than being treated as an afterthought. (3)

“A forward deployed engineer should leave your engineering team more capable than they found it. Good engagements create clearer ownership, faster decisions, and enough shared knowledge for the internal team to keep moving once the engineer steps back.”

— Abubakar Shams, CEO & Business Strategy Lead, Phaedra Solutions

Forward Deployed Engineer vs Staff Augmentation

Forward deployed engineers and traditional staff augmentation can both place outside engineers inside your team, but companies usually hire them for different problems.

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If your architecture is final, requirements are clear, and you mainly need additional developers to work through an established backlog, conventional staff augmentation may be enough.

A forward deployed engineer becomes more useful when the requirement itself still needs investigation, several systems or teams must be coordinated, or someone needs to own the path from technical discovery through production.

This shift is also visible among large IT services companies. Reuters reported in July 2026 that TCS plans to build a group of up to 8,900 forward deployed engineers as it moves further toward embedded AI implementation and integration work. (4)

How Do You Know You're Actually Getting a Forward Deployed Engineer?

As the role becomes more popular, the title alone tells you very little. Companies should evaluate how the engineer will work, what they can own, and how much access they will have to the actual problem.

Before hiring a forward deployed engineering team, ask whether the engineer will:

• Work directly in your repositories and technical environment
• Write or review production code
• Investigate unclear requirements before implementation
• Speak directly with engineering, product, and relevant business stakeholders
• Make or influence architecture and integration decisions
• Take ownership of a defined technical outcome
• Work through production deployment and early operational issues
• Document decisions and transfer knowledge to your internal team

Also ask what the engineer will not own.

Production access, product roadmap authority, security approval, people management, and long-term operational responsibilities should be defined before the engagement begins.

If the role mainly involves completing assigned tickets against fully defined specifications, conventional staff augmentation may be enough.

If the project requires discovery, technical judgment, cross-system problem solving, and production ownership, the forward deployed model is a stronger fit.

How Forward Deployed Engineers Work Across Your Organization

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Complex engineering initiatives rarely belong to one technical team.

Forward deployed engineers often work across several groups to keep architecture, implementation, security, deployment, and the real business workflow aligned.

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The FDE acts as a technical connection point when one initiative crosses several areas of ownership.

Internal teams remain responsible for their domains while the engineer helps keep the shared outcome moving.

Case Study: AI Cloud Surveillance Platform Through a Forward Deployed Engineering Lens

Phaedra Solutions developed an AI Cloud Surveillance Platform that connected existing IP cameras and access-control systems with AI-powered monitoring, search, analytics, cloud infrastructure, and user-facing applications. The project required engineering across AI, existing hardware, integrations, backend systems, infrastructure, security, QA, and operational workflows.

For a company approaching a similar initiative with a forward deployed engineer, the engineer could embed with existing engineering and operations teams, identify the highest-risk integration points, coordinate technical decisions across AI and infrastructure, and take ownership of getting the assigned scope into production. Internal engineers would remain involved throughout so architecture decisions, deployment knowledge, and operational context stayed inside the organization.

Where FDE Team Integration Commonly Goes Wrong

Even an experienced engineer can struggle when the engagement model is poorly defined.

The most common problems include:

• Unclear authority: The engineer cannot make technical decisions, challenge assumptions, or escalate blockers.
  
• Limited access to stakeholders: Too many communication layers prevent the FDE from learning how the workflow really works.
  
• Treating the engineer like a ticket-based contractor: The FDE is expected to execute tasks but cannot investigate whether those tasks solve the underlying problem.
  
• Separate engineering processes: Parallel backlogs, isolated repositories, or separate documentation create additional coordination rather than removing it.
  
• Undefined ownership: Internal teams and the FDE both assume the other side owns a decision or production responsibility.
  
• Late security involvement: Identity, data access, governance, or architecture reviews only happen when the system is ready to launch.
  
• No knowledge-transfer plan: Architecture context, runbooks, testing procedures, monitoring, and operational knowledge remain with the external engineer.

Many of these issues can be prevented before development begins by defining access, authority, responsibilities, success metrics, and the expected ownership transition.

How Knowledge Transfer Should Work

Knowledge transfer should happen continuously.

Internal engineers should participate in design reviews, pull requests, debugging, releases, architecture discussions, and operational decisions throughout the engagement.

By the time the FDE reduces involvement, your team should understand:

• Why the architecture works the way it does
• How the system is deployed
• How changes are tested
• Which metrics matter
• How failures are handled
• Where dependencies exist
• Which assumptions remain
• What technical debt exists
• Where future changes are likely
• Which operational decisions require human intervention

Documentation should support that knowledge rather than replace direct collaboration.

Useful handoff assets may include:

• Architecture documentation
• Decision records
• Deployment procedures
• Runbooks
• Monitoring dashboards
• Evaluation frameworks
• Test suites
• Integration documentation
• Troubleshooting guides
• Known limitations
• Recommended future improvements

A good embedded engineering engagement leaves your internal team with more capability and context than it had when the work started.

Hire a Forward Deployed Engineer to Work With Your Existing Team

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If your developers understand the product but a high-value initiative is still blocked by unclear ownership, difficult integrations, evolving requirements, or missing specialist expertise, a forward deployed engineering team can add senior technical ownership without replacing your existing developers.

Through Phaedra Solutions' staff augmentation services, you can hire a senior forward deployed engineer who works inside your existing repositories, sprints, communication channels, code-review process, and technical environment.

A Phaedra Solutions forward deployed engineer can support:

• Technical discovery and solution scoping
• Architecture and integration decisions
• Hands-on development
• AI and enterprise system integration
• Cross-team technical coordination
• Testing and production deployment
• Production troubleshooting
• Documentation and knowledge transfer

Your internal engineers retain their product and system ownership while the FDE focuses on moving the agreed initiative forward.

Have an initiative that needs senior embedded ownership? Book a free forward deployed engineer consultation.