AI Platform Executive|Strategic Speaker|Founder, BaezLabs
Delivered in Spanish · 35 minutes + 15 minutes Q&A · In person or virtual · Available at no cost for director-level communities and events.
How an executive deploys a network of AI agents that work 24/7 without depending on their technical team. Includes a live demonstration of an agent running in production.
A three-tier framework — User, Builder, Orchestrator — for classifying every person on the team, with real cases by function: sales, finance, HR, operations.
The real cost breakdown of running AI agents in production, what to automate this quarter, and how to evaluate an AI proposal before signing it.
Engineering leadership at the intersection of AI, multi-cloud infrastructure, and the boardroom. Built for governed enterprise, calibrated for execution speed.
Xavier is a VP-level technology executive with 20+ years orchestrating AI platforms, multi-cloud infrastructure, and engineering organizations at Fortune 500 scale. Currently leading AI Platform Engineering at a Fortune 500 enterprise with $2B+ in revenue — governing high-scale global cloud portfolios and serving as primary technical partner to C-suite and executive-level cloud provider contacts.
Earlier, he spent 8 years at NTT DATA running healthcare cloud migrations exceeding 50TB, and held SRE and distributed-systems roles at Google in San Francisco. Wharton-trained in financial modeling, with Harvard Business School CORe in progress — he speaks fluently in EBITDA, FinOps, and platform economics.
He founded BaezLabs, a boutique AI and multicloud consultancy serving companies in Mexico, Latin America, and the United States.
Leading enterprise AI adoption by deploying autonomous agents — Claude Code, GitHub Copilot, Gemini, and Grok — to automate IaC authoring and CI/CD generation at Fortune 500 scale.
Platform leadership across Fortune 500 enterprise, global systems integration, and hyperscale distributed systems.
For Fortune 500 and high-growth enterprises that need a full-time AI platform leader to govern multi-cloud spend, build agent frameworks, and align engineering with EBITDA outcomes.
Technical depth paired with formal financial training — built to translate platform decisions into shareholder outcomes.
The new executive operating model. Why technical leadership without hands-on building has become a liability — and what “executive builder” actually looks like in practice.
DevOps as practiced today doesn’t scale past 50 engineers. The structural shift to platform engineering, internal developer platforms, and self-service infrastructure that actually compounds.
Multi-cloud is misunderstood as redundancy. The truth is governance — the controls, contracts, and runbooks that turn three hyperscalers into one operating model rather than three liabilities.
Nearshoring isn’t a cost play anymore. The structural advantages — timezone overlap, cultural fluency, and senior engineering depth — that make México the strategic choice for US tech.