Forward Deployed Engineers
Our engineers work inside your bank, under an Employer of Record structure, as part of how your team gets this built.
14/09/2026
Riyadh Exhibition & Convention Center, Malham, Riyadh, Saudi Arabia
The Financial Sector Development Program has set the Kingdom explicit targets for 2030: SAR 4,553 billion in banking assets, 525 active fintech companies, and a financial sector contributing 8.2 percent of GDP. In March 2026, SAMA moved Open Banking from its regulatory sandbox into full licensing, so banks are now expected to operate at production scale, on a compressed timeline.…
The Financial Sector Development Program has set the Kingdom explicit targets for 2030: SAR 4,553 billion in banking assets, 525 active fintech companies, and a financial sector contributing 8.2 percent of GDP. In March 2026, SAMA moved Open Banking from its regulatory sandbox into full licensing, so banks are now expected to operate at production scale, on a compressed timeline. The fastest way to hit these targets is to adopt a hosted AI platform built and run by an external vendor, and that is exactly the path that places a bank’s core decisioning intelligence inside infrastructure it does not control.
CodeNinja operates as an AI Lab. Our engineers work inside your bank, building governed Systems of Context on your own infrastructure, under your own governance. What gets built stays yours, in the Kingdom, under your control.
It runs on your own infrastructure, learns how your bank actually works, and transfers to you in full. Ownership holds it
Our engineers work inside your bank, under an Employer of Record structure, as part of how your team gets this built.
Every system runs inside your own environment, under your own risk and compliance controls, from day one.
The system, the model, and everything it has learned transfer to your bank completely.
Four questions any regulator will ask before approving agentic AI in a bank, and the reason CodeNinja builds Systems of Context to answer them directly.
What It Knows
Models your bank’s products, policies, customer relationships, approval rules and permitted actions, so an agent reasons from your real operating context.
What It Knows
Models your bank’s products, policies, customer relationships, approval rules and permitted actions, so an agent reasons from your real operating context.
For a leading Middle Eastern financial institution advancing its Vision 2030 mandate, CodeNinja built a full onshore engineering department inside the bank, embedded within its own governance and infrastructure and matured over a year into a production-grade capability.
For a global regulated-data provider, we built and now operate a multi-region AWS platform with security and data residency enforced by design, exactly what regulated financial workloads require.