The technical authority in the client conversation and the person who designs the solution. You judge what AI can do in a given process and where its limits are, then build and maintain the system that follows — agents, the voice layer and integrations.
- Feasibility assessment and solution architecture before any build starts
- Agents over client data: tools, context, knowledge base and the limits of responsibility
- The voice layer and integration with existing systems — CRM, calendar, telephony
- Evaluations before every change, and measuring latency, cost and errors in production
- Python and hands-on work with the leading model APIs
- Experience with a system that ran in production, not only a demo
- The ability to explain a solution's limits to a client without jargon
- The judgement to say when a model is the wrong instrument