Agentic AI & Hyper-Automation Engineer

Ford Motor Company; Naucalpan de Juárez; Presencial; MXN 520.000 - 900.000; Jornada completa

Descripción de la vacante

Ford of Mexico is pursuing advanced automation through AI-driven, agentic solutions that enhance end-to-end workflows across procurement, scoping, and reporting. You will architect multi-agent systems, work with global teams, and drive continuous improvement in cycle times and quality.

The role emphasizes solid software-engineering foundations, adaptability to evolving low-code tools, and strong collaboration across stakeholders, with an emphasis on governance and timely delivery.

Formación

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Proficiency with Python, Java/JS, REST APIs, JSON.
• Hands-on experience with enterprise automation / low-code platforms (Pega, Power Platform).
• Strong understanding of software development principles and OOP.

Responsabilidades

• Lead Hyper Automation initiatives and drive AI-driven, agentic automation.
• Design and build agentic AI solutions for internal stakeholders and multi-agent systems.
• Adapt solutions to changing enterprise tooling landscapes (low-code/automation suites).
• Optimize team deliverables to reduce cycle times and improve quality.
• Maintain awareness of industry AI advancements and competitive products.
• Ensure on-time delivery using Agile practices and automated testing.
• Document enhancements and projects for clear traceability.
• Collaborate with global teams and business stakeholders.

Conocimientos

Python 3.x

Java/JS

REST APIs

JSON

OOP / software design

English proficiency

Educación

Bachelor's degree in Computer Science/Engineering

Herramientas

Pega Platform

Pega Robotic Automation

Microsoft Power Platform

Jira

Rally

Descripción del empleo

Ford of Mexico is pursuing advanced automation through AI-driven, agentic solutions that enhance end-to-end workflows across procurement, scoping, and reporting. You will architect multi-agent systems, work with global teams, and drive continuous improvement in cycle times and quality.

The role emphasizes solid software-engineering foundations, adaptability to evolving low-code tools, and strong collaboration across stakeholders, with an emphasis on governance and timely delivery.