Technical advisory
Architecture & Implementation
Work directly with a senior engineer to deliver a defined AI or data project. I take responsibility for architecture, hands-on implementation and technical handover, using acceptance criteria agreed with your team.
Discuss this serviceIs this the right service?
Who it is for. Engineering owners with an agreed project scope and a need for senior implementation capacity.
The problem. Architecture decisions, missing implementation capacity or an incomplete prototype are blocking delivery.
The result. A reviewed implementation your team can operate and extend, with remaining limitations documented.
What it covers
Architecture and boundaries
Agree what the system must do, where it connects and how it will be accepted.
- Document architecture decisions, interfaces and acceptance criteria.
Hands-on implementation
Build and review working increments in your environment. Components follow the chosen service scope rather than a fixed vendor stack.
- Deliver code, configuration and tests for each agreed increment.
Deployment and handover
Exercise the release process and operating procedures with your engineers.
- Provide deployment instructions, validation evidence and a runbook.
Approach
- 01
Agree the scope
Turn the use case or roadmap into explicit interfaces, deliverables and acceptance criteria.
- 02
Build working increments
Implement and review the agreed system with your team using representative inputs.
- 03
Validate and hand over
Run acceptance checks, review deployment and recovery steps, and document remaining work.
What you get
An agreed system increment with source code, validation results, deployment instructions and a runbook.
Relevant experience
The United Nations knowledge platform and report workflow demonstrate end-to-end AI engineering. Government of Canada work demonstrates cloud and data-platform delivery. The specific controls and deliverables for your project are agreed in its scope.
Related services
For an implementation over internal documents, see private knowledge assistants.
For an existing agent that needs one business system, see agent API integration.
For ingestion and downstream data needs, see data platforms and cloud foundations.
Working together
Projects are delivered remotely, with a defined scope, scheduled reviews and written progress updates. We agree meeting times, access requirements and acceptance criteria before work begins. Code, documentation and handover are included as specified in your engagement.
Discuss this engagement
Bring your project scope, existing architecture and the acceptance criteria that matter to your team.
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