How do I certify my engineers to work alongside AI?
Enroll them in bRRAInDev — SDK Developer, Integration Engineer, Platform Architect. Three roles, three exams, three tiers of authority on the platform. Structured knowledge beats ad-hoc learning.
Why ad-hoc AI learning fails at the team level
Most engineers learn AI tools ad hoc — a Twitter thread here, a tutorial there, a weekend project. At the individual level this works fine. At the team level it produces wildly uneven fluency, incompatible conventions, and zero accountability for how the platform is configured. Somebody ends up "the AI person" and becomes a single point of failure. The fix is structured certification: a shared body of knowledge, measurable competency levels, and explicit authority tied to each tier.
The three tiers of bRRAInDev
The bRRAInDev certification path defines three tiers tied to platform authority. The SDK Developer covers the basics — wiring agents through the Embedded SDK, calling the memory layer, writing against the SDK quickstart. The Integration Engineer covers the middle — connectors, MCP Gateway configuration, tooling glue across the 11 integration recipes. The Platform Architect covers the top — memory curation, policy tuning, control plane design, cross-service governance.
What each role is allowed to do
Certification is not just a badge — it maps to permissions in the Auth / Control Plane. SDK Developers can write new agent integrations against their own workspace. Integration Engineers can configure connectors and policies for a team. Platform Architects can modify organisation-wide policy and curate the canonical decisions layer. The tiers compose: architects mentor integration engineers, who mentor SDK developers. A new hire lands at SDK Developer; seniors progress to Architect. The career ladder has a concrete platform meaning.
Beyond engineering: the wider certification stack
Engineers are only half the story. bRRAInOps covers Operations, Security, and Access Controllers; bRRAInCare covers Maintenance and Care Analyst roles; bRRAInCells covers Sales, Installation, and Implementation. Together these paths form a complete organisational model for running an AI-grounded engineering operation. The certification program index lays it out end-to-end. Certifying your engineers into bRRAInDev is how you move from experimental AI use to a disciplined, auditable, scalable practice.
Where to start
Pick a single service and one engineer to certify at SDK Developer. Have them wire Cursor or Claude Code into bRRAIn using the SDK quickstart. Once they can demonstrate grounded output on that service, progress them to Integration Engineer and expand scope. Identify your first Platform Architect from among the team's most senior engineers — the person already doing memory curation informally. Formalise the role. Within a quarter you will have a structured, tiered AI engineering organisation instead of a Slack channel of enthusiasm.
Relevant bRRAIn products and services
- bRRAInDev certification path — the three-tier framework for engineers working alongside AI.
- SDK Developer certification — entry tier covering agent integration basics.
- Integration Engineer certification — middle tier covering connectors and MCP configuration.
- Platform Architect certification — top tier covering memory curation, policy, and control plane design.
- Embedded SDK — the technical surface certified engineers operate on.
- SDK quickstart — the hands-on starting point for a first SDK Developer.
- Certification program index — full catalogue of bRRAInDev, Ops, Care, and Cells paths.
- Book a demo — walk through the certification model with a bRRAIn specialist.