AI Solutions Architect · Fractional Head of AI · Santiago, Chile · Remote
Most GenAI pilots never make it to production. Getting them there and keeping them running at scale is what I do.
As CTO of a startup in a regulated industry, I built a product from zero with generative AI at its core and scaled it to thousands of users. The hard part was never the model. It was everything around it: the integrations, day-to-day operations, and an architecture that stayed stable at scale.
Today I run scoped POC-to-Production Sprints for teams whose GenAI project is stuck, with a focus on regulated industries (finance, insurance, public sector, healthcare): I come in, find why it isn't shipping (it's rarely the model), and get it there. Plus advisory on designing scalable AI systems.
- Spec-driven development: clear specs first, then build, so AI handles the mechanical work and humans make the high-order calls
- Multi-agent systems & GenAI in production: agents, RAG, evals, guardrails. Built for production, not demos
- Multi-stack, vendor-agnostic: Azure AI, Anthropic, LangGraph, Semantic Kernel, OpenAI, plus AWS and GCP. I pick the stack that fits the problem
I work both sides: the commercial (tech consulting, team management, client-facing) and the technical (engineering, architecture, hands-on in the code). Full-stack engineer, technical lead, then CTO. EN/ES.
A conversational, cite-or-refuse AI agent built for a regulated environment (healthcare as the chosen instance: the highest bar), paired with a CI-gated evaluation harness: eight scorers, five deterministic CI gates, three judge-backed. Trilingual (EN/ES/PT-BR), built and evaluated on 100% synthetic data; a capability and readiness reference, not a medical device.
- Full case, method and report card: szemat.pro/evidence
- Documentation & governance (36 public ADRs; EU AI Act, NIST AI RMF, ISO/IEC 42001, SOC 2, MITRE ATLAS, HIPAA): agent-docs.szemat.pro
- Live agent (access key, human-reviewed): agent.szemat.pro
- Voice demo (ElevenLabs multilingual TTS, EN/ES/PT-BR): voice-demo-ai-agent-eval-harness