AI Automation Engineer (Part-time)

WON; Perímetro Urbano Medellín; Presencial; COP 60.000.000 - 90.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Career growth

Healthcare stipend

Descripción de la vacante

WON is seeking an AI Automation Engineer to design and deploy scalable automation across internal teams, from go-to-market to delivery and recruiting. You will own the automation roadmap with the AI Practices Lead, delivering pilots that teams trust and rely on daily.

Responsibilities include building production-grade automations, dashboards, and reporting to inform decisions, plus driving adoption through clear documentation and hands-on training across the organization.

Formación

• Experience building automation and internal tooling in production environments.
• Ability to map information and workflows end-to-end across multiple teams.
• Strong storytelling to justify automations and document decisions.

Responsabilidades

• Execute the automation roadmap set by the AI Practices Lead.
• Run agent pilots for go-to-market, sales, and project delivery workflows.
• Develop and deploy automation that tracks work status, timelines, and handoffs.
• Build internal communications systems to reduce coordination overhead.
• Create recruiting dashboards and streamline candidate communications.

Conocimientos

Automation development

Dashboarding & reporting

Cross-functional collaboration

Production-grade tooling

Herramientas

Dashboarding tools

RPA/Automation platforms

Descripción del empleo

Sep 16, 2026

AI Automation Engineer

About WON

WON redesigns how a business works: what its customers experience on the outside, and how its operation runs on the inside. We do that for retail and consumer brands, travel, hospitality, financial services, and private equity portfolios. We are not a consultancy that separates the thinking from the doing, and we are not a platform company with something to sell you. Those two halves are our two disciplines: Experience Intelligence and Operational Intelligence.

This role sits inside the firm rather than on client work. As WON scales, the constraint is not strategic or creative output, it is how much manual effort still sits between our teams and the information they need. The first wave is a set of internal agent pilots across go to market and sales, project management and delivery, internal communications, recruiting dashboards, and skills and training.

AI powers the systems. Judgment powers what gets automated and how. Anyone can wire up a workflow. The job is knowing which manual process is actually worth automating, building it so it holds up in production, and making the people using it trust it enough to rely on it.

This role reports directly to the AI Practices Lead and executes within the automation roadmap they set.

What You’ll Own

Execution of the automation roadmap set by the AI Practices Lead: you are the builder who turns priorities into working systems, alongside the teams who will use them

Agent pilots for go to market and sales, from pipeline and outreach workflows to the information a sales conversation depends on

Project management and delivery automation, including how work status, timelines, handoffs, and team capacity move through the firm

Internal communications systems that cut the manual coordination overhead slowing delivery down

Recruiting dashboards, and the pipeline tracking and candidate communication feeding them

Skills and training systems: the internal enablement that gets teams genuinely adopting what you build instead of reverting to the manual version

How Success Is Measured

Agent pilots on the roadmap ship and go live, on the timeline the AI Practices Lead sets

What you build is trusted and used daily by the teams it serves, not abandoned after launch

Manual, repetitive work measurably decreases across go to market, delivery, communications, and recruiting

Teams operate what you built without routing every change back through you, and the documentation gets used rather than written and forgotten

Systems keep running: low-maintenance and stable in production, and you become the person teams go to when a manual process is costing them real time

What You’ll Bring

Demonstrated experience building automation and internal tooling in a production environment, with strong systems thinking: you can map how information and work actually move through an organization, not just build one workflow in isolation

Experience with dashboarding and reporting tooling

Can explain why a given process is worth automating and why a specific solution is the right one, not just that it works

You can teach: comfortable running a working session and writing documentation a non-engineer can follow, because adoption is part of the build

Comfortable working across go to market, delivery, recruiting, and leadership to understand what a process needs before automating it

English fluency sufficient for daily collaboration with a US-based team

Bonus points:

AI and LLM tooling and agent workflows beyond scripting or RPA; recruiting or HR-adjacent automation; agency, professional services, or client-delivery environments; standing up systems from scratch in a lean environment

How We Work

Automation is treated as core infrastructure, not a side project squeezed between other work

AI and automation exist to eliminate manual, repetitive work, not to replace judgment about what is worth automating

Systems are built to be used and trusted, not to demo well once

Adoption is part of the build. A system the team needs you to run is not finished

A defined roadmap and direct collaboration with the AI Practices Lead, on a nearshore contract built for someone who wants to own the build rather than take tickets

If you want to be the person who quietly makes an entire firm run better because of the systems you built, we’d love to meet you.