Enterprise Architecture
Architecture governance, standards and data quality at scale, applied to AI systems and product. Working knowledge of TOGAF 9 and the Zachman Framework.
Enterprise Architect & AI Engineer - Fullstack Dev
I design architectures that scale, and AI agents that run them.
Jorge Aymar — Enterprise architect and Project Manager with PMI practices, with 25+ years defining standards, data governance and large-scale systems. Today I apply that same discipline to building AI agents, automations and full stack product, from architecture to code.
25+ years of experience
0Architecture projects led
0AI systems built
0Years of experience
Enterprise Architecture·Agentic AI·
N8N·RAG·React·
Python·Docker·PMI·
Scrum·OpenAI·Anthropic·
Hermes·OpenClaw·
Enterprise Architecture·Agentic AI·
N8N·RAG·React·
Python·Docker·PMI·
Scrum·OpenAI·Anthropic·
Hermes·OpenClaw·
About
Solid architecture, executed in code
I'm a computer engineer with 25+ years of experience in Enterprise Architecture: defining standards, data governance and systems architecture, leading portfolios of 200+ projects at large organizations.
Today I apply that same architectural discipline to building AI agents, automation and full stack product — certified in development (4Geeks Academy) — connecting language models to real business processes, with systems that are well thought out, documented and ready to use.
I use AI and Software Engineering best practices to design, build, validate and deploy applications, end to end.
Spanish
English
Portuguese
Capabilities
What I can build
Eight areas I work in, from architecture to code.
Agentic AI & Automation
Design and development of AI agents, chatbots, RAG and automation flows with N8N, prompt engineering and LLM integration.
Multi-model AI Integration
Connecting product and automations to the leading AI providers, choosing the right model for each use case.
Full Stack Development
End-to-end product development: interfaces, APIs and databases, focused on fast shipping and maintainable code.
Cloud & DevOps
Deployment and operation of cloud infrastructure, containers and continuous delivery pipelines for product and automations.
Computer Vision
Image and video analysis with AI: object detection and counting, risk assessment and automatic report generation.
Project & Delivery Leadership
Leading project portfolios with PMI and Scrum discipline, managing risk, scope and delivery systematically.
Growth & Digital Marketing
Design and execution of acquisition and CRM strategies, integrating paid channels with commercial automation.
Portfolio
AI systems built
AI Automations
Bots trained per client type, operating over chat or voice, that automate repetitive sales, production and post-sale tasks. Every run is traced to drive continuous improvement, cutting operating time and staffing cost.
Agentic CRM
A commercial assistant available 24/7 via chat or voice: plans commercial activity, manages the sales process end to end and gives a 360° customer view in one place, omnichannel, on desktop, tablet or mobile.
AI Truck Tracking
Real-time location integrated with ERP, maintenance control, fuel spend monitoring and driver behavior analysis with risk alerts. Direct chat to the truck, cutting manual supervision time and fleet logistics cost.
AI Vision
Counting people and vehicles, detecting security risks and generating automatic reports, including from drone footage, for inspecting hard-to-reach or elevated sites. Built for industry, agriculture, mining and retail.
GLPI-Plus
Custom adaptation of the open-source GLPI project, assisted by an AI agent with text and voice chat, for ticket, incident and knowledge-base management with automated answers under ITIL standards — cutting resolution time.
AI Governance
Structured, layered Generative AI adoption, with enterprise architecture, data governance and cybersecurity built in from the design stage — avoiding incident costs and speeding up adoption.
More code and experiments on GitHub.
View GitHub →How I Work
Capabilities beyond code
Technical
Strong full-stack development skills (backend, frontend, data pipelines)
Experience with cloud infrastructure (Azure, VPS)
Knowledge of data architectures, APIs, systems integration
Familiarity with applied AI/ML, not just theory but practical implementation
Ability to prototype and ship fast (speed > initial perfection)
Business & Consulting
Ability to understand complex business processes and translate them into technical solutions
Results-oriented thinking: what value does this create for the client?
Clear communication with non-technical stakeholders
Comfortable working with ambiguity and loosely defined requirements
Mindset
Autonomy: working on-site or close to the client, with little direct supervision
Adaptability: constantly shifting context and business domain
Ownership: I treat the client's problem as my own, not just tickets to execute
Tolerance for pressure and short deadlines
Background
Education & certifications
Education
Computer Engineering
Universidad de Tarapacá — Arica, Chile
Business Intelligence & Data Warehousing — Diploma
Universidad de Chile — Santiago, Chile
Business Management — Diploma
Facultad Economía y Negocios, Universidad de Chile
Certifications
Full Stack Software Developer — 4Geeks Academy
Cloud & DevOps — MIT
PMI Member — Project Management Institute
Scrum Master (SMPC) — Certiprof
N8N Expert — VA360 Academy
AI Fundamentals — UDIA.es
AI-Assisted PM & Product Ownership — Alaimo Labs
Data Governance and Privacy — IBM
Product Manager — CoderHouse.cl
One Million Prompters — Dubai Future Foundation
E-commerce — Coderhouse
Contact
Let's build something together
Got an AI, automation or digital product project in mind? Let's talk.
📍 Santiago, Chile