Roberto Aguirre Guardia
AI Engineer Manager · End to End AI Delivery Leadership · Agentic Frameworks, RAG & LLM Systems in Production · Prompt Engineering & Evals · Pragmatic AI (What AI Should & Should Not Attempt) · Azure · Mentoring · English C1
Bogotá, Colombia · Remote (LATAM / US overlap) aguirrerjg@gmail.com +57 317 675 0419 linkedin.com/in/roberto-javier-aguirre-guardia

Summary

AI Engineer Manager and delivery leader who takes production AI systems end to end: I architect and lead RAG, agentic frameworks and LLM powered solutions, design evaluation frameworks, and make pragmatic calls on what AI should and should not attempt. I apply advanced prompt engineering (instruction design, few shot, structured outputs, tool and agent prompts), read code (Python, TypeScript) and build hands on with Claude Code, and I engage engineering on architecture, weighing cost, latency and reliability. I run on Azure with CI/CD, Docker and event driven orchestration, and I mentor engineers and shape proposals. 15+ years delivering software to production. English C1.

Experience

Head of AI · End to End AI Delivery: Agentic, RAG, Evals & LLMOps · DigitalHubAssist LLC Oct 2024 · Present
Remote · Applied AI / SaaS (Anthropic partner program)
Consulting Manager · Delivery Leadership, Stakeholders & Azure Production · NTT DATA Colombia Apr 2021 · Oct 2024
Bogotá, Colombia · Global systems integrator (GSI) · Financial services (banking)
Project Manager / Delivery Lead · Software & Digital Products in Production · VASS (2018·21) · GlobalHitss (2015·18) · Tecnocom (2012·15) 2012 · 2021
Bogotá, Colombia · Digital delivery

Education

Systems Engineering · U. de Lima (STEM, Top Third) · MBA, Tecnológico de Monterrey · Founding Professor of Innovation, U. Sergio Arboleda 1999 · 2004

Core Competencies

End to End AI Delivery Leadership · Governance · Reliable Execution Agentic Frameworks · RAG (Chunking · Embeddings · pgvector Retrieval) · LLM Solutions Advanced Prompt Engineering (Instruction Design · Few Shot · Structured Outputs · Tool/Agent Prompts) Evaluation Frameworks (LLM as a Judge · Custom Metrics · Quality Gates) · Observability (Langfuse) Feasibility & Pragmatic AI (Prompting vs RAG vs Fine Tuning vs Classical ML) Reads Code (Python · TypeScript) · Builds with Claude Code · Git · CI/CD Azure · Docker · Event Driven Orchestration (Inngest) · APIs & Function Calling Mentoring Engineers · Proposals & Solution Design · Systems Engineer · MBA · English C1