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Embedded Reliability Engineers

Senior production engineers working inside your delivery team, on your repositories, your CI/CD and your operating model.

The same AI Production Engineering discipline used across GKO engagements, embedded directly where your team needs sustained ownership.

Book the AI Production Audit

Who It Is For

  • You have production AI work that needs sustained engineering ownership inside your team
  • Your technical leadership is clear, but execution capacity is constrained
  • You need senior engineers who can work across architecture, integrations, release controls, observability and recovery
  • You want engineers operating inside your repositories, delivery workflow and engineering standards
  • You need additional production engineering capacity without immediately adding permanent headcount

Production AI work often needs ownership inside the team, not another external project.

Some production problems are best handled as a defined engagement. Others need an engineer inside the team for long enough to carry architecture, integration, release, observability or operating responsibility alongside the client's own engineers.

The challenge is not simply adding hands. The engineer has to understand the production system, work inside the existing engineering process and take responsibility for outcomes rather than operate as an isolated contractor.

Embedded Reliability Engineers provides that capacity as one engagement path within the GatekeeperOps production engineering practice.


What You Get

DeliverableDescription
Embedded production engineerA senior production engineer working directly inside the client delivery environment
Defined production workstreamClear ownership around the production systems, workflows or controls in scope
Client-native deliveryWork happens in the client repositories, CI/CD, tooling and engineering process
Production engineering scopeArchitecture, integration, release controls, observability, recovery or workflow engineering depending on the production need
Shared ownership modelResponsibilities between GKO, the embedded engineer and the client team are explicit
Continuity and handoverSystem context, operating knowledge and documentation remain transferable
Practice oversightGKO practice lead support where deeper review, escalation or technical guidance is required
Flexible engagement scopeCapacity and duration can change when the underlying production need changes

How It Works

01

Step 01: Define the workstream

Identify the production responsibility the embedded engineer will own, the systems involved, the required engineering depth and the boundaries with the client team.

02

Step 02: Match the engineering depth

Select the production engineering profile appropriate to the architecture, systems, autonomy and ownership required.

03

Step 03: Integrate into the team

The engineer works inside the client repositories, delivery workflow, engineering rituals and operating environment.

04

Step 04: Deliver and operate

The engineer owns the agreed production work alongside the client team, with GKO practice support available where deeper review or escalation is required.

05

Step 05: Transfer or continue

Continue the embedded engagement, change the scope, reduce capacity or transfer the production context back to the client team as the need evolves.


Investment

Embedded Reliability Engineers is scoped around the production workstream, required engineering depth, expected ownership, working model and engagement duration.

Commercial terms are agreed after the AI Production Audit or a focused scoping conversation when the required workstream is already clear.

Book the AI Production Audit

Success Metrics

The production workstream has clear technical ownership inside the client team.

The embedded engineer works inside the existing repositories, delivery workflow and operating model without creating a parallel process.

Production context, runbooks and engineering knowledge remain transferable rather than becoming dependent on one individual.

The client can continue, reduce or transfer the engagement without losing control of the system.


FAQ


Senior production engineering, inside your team.

Add production engineering ownership where your team needs it most.

Book the AI Production Audit