AI + Automation Architect
Designs the whole flow: data + model + decision + action. End-to-end, measurable, and maintainable.
AI Solutions Architect · Creative Technologist · Agentic Developer. 15+ years from QA engineering and project management into large-scale AI and automation systems. Based in Toronto, works remotely, and builds systems where AI stops being a demo and becomes a real workflow.
Alejandro's Work
A short AI-made cut that sums up who Alejandro is, why he designs automation rituals, and how he lands ideas inside real systems.
Verified Learning
Track Record
Experience
Education
Universidad Marista de Mérida, Mexico · 2004 - 2007
He isn't "the Salesforce guy" or "just another dev". He lives where AI, automation, product, and systems overlap, and treats Salesforce, Python, and LLMs—whatever is required—as tools, not identity.
He looks at a manual process and the flow is already sketched: data intake, cleaning in Python or SQL, an AI decision, and automation that updates the CRM, sends emails, and fires tasks. While others open Excel, he's figuring out how to make sure it never has to be done manually again.
Works as architect, product thinker, tech lead, and educator simultaneously.
Designs the whole flow: data + model + decision + action. End-to-end, measurable, and maintainable.
Understands pain, KPIs, and money. Translates into stories, prioritises, and delivers without smoke.
Writes 30-line scripts or entire platforms, leads teams, and brings AI down from Olympus for real people.
No platform fanboy moves here—he just uses whatever orchestrates systems that work.
Generative AI (LLMs), agentic workflows, Retrieval-Augmented Generation (RAG), MCP tools and AI orchestration. Python as the Swiss Army knife, SQL to measure and decide.
Google Cloud Platform (GCP), AWS, Vercel and Next.js. Webhooks, integrations and pipelines where CRMs, Google and bots run solo.
Salesforce (Agentforce, AI Associate, SCA), Marketing Cloud Account Engagement (MCAE), Flows, Einstein and integrations. React, APIs and glue code to tie everything to AI.
Agile / Scrum, project management, QA roots. Leads teams, writes 30-line scripts or entire platforms, and brings AI down from Olympus for real people.
Traits that let him switch roles without losing the thread.
One line, no fluff:
AI Solutions Architect and Creative Technologist with 15+ years of experience evolving from QA engineering and project management into large-scale AI and automation systems. 120+ production GenAI applications shipped, $1.7M+ in cost savings and 60,000+ hours reclaimed annually through automation.
Salesforce is the battlefield where he trained, but what defines him is bridging experimental AI work with secure, scalable production systems using LLMs, RAG architectures, and agentic workflows, so people get their time back.