Top Artificial Intelligence Jobs in Mexico

Lead planning and execution of software and application solutions, manage internal team and external suppliers, support regional and global software strategies, contribute to FP&A and financial controls, manage procurement and payments, drive cost savings, ensure SLAs/KPIs, and partner with business on transformation initiatives.

The Domain Support Specialist ensures technical capability in Automated Operations, monitoring service performance, managing maintenance activities, and providing technical support for 5G and LTE technologies while performing system administration tasks.

Deploy, configure, tune, and support CrowdStrike Falcon AI/ML detection and response capabilities. Optimize ML models, build automation playbooks, integrate AI into customer workflows, develop Falcon API scripts, support incident response and threat hunting, and deliver AI training and customer-facing collateral. Travel up to 25%.

As an AI Engineer, you will develop generative AI tools, automate processes, ensure AI system integration, and promote AI literacy across teams.

The Software Engineer II role focuses on AI development, designing AI-powered workflows and tools to enhance software engineering productivity and collaboration across teams. Responsibilities include building AI agents, improving CI processes, and streamlining development environments.

Lead design, development, and deployment of AI/ML solutions for manufacturing: create models for optimization, predictive maintenance, quality analytics; build data pipelines, scalable architectures; apply computer vision, NLP, and time-series methods; integrate with production teams; mentor engineers and drive Industry 4.0 initiatives.

The Principal Solutions Architect will lead technical architectures, drive AI-focused solutions, collaborate across teams, and mentor others to guide customers in maximizing GitLab’s DevSecOps platform's value.

The AI Engineer will prototype Generative AI tools, automate processes, ensure integration with enterprise systems, and enforce compliance while fostering AI literacy across teams.

As a Senior Data Engineer, you will design scalable data pipelines, develop data models, partner with cross-functional teams, and enhance data quality and governance.

Lead and manage applications development teams for AML systems, oversee technical solutions, project and resource management, vendor relationships, support/maintenance, continuity planning, and ensure regulatory/compliance controls.

Diseñar, escalar y liderar una plataforma interna de monitoreo y gestión de información para relaciones con comunidades, conectando negocio con desarrollo, IT y data. Traducir necesidades en requerimientos técnicos, definir integraciones y automatizaciones, asegurar calidad y trazabilidad de datos, y validar casos de uso de IA y modelos predictivos. Adaptar la plataforma a marcos regulatorios internacionales y documentar procesos.

Lead and manage internal audits, develop audit programs, evaluate internal controls, prepare reports, and ensure compliance with regulations in Financial Services.

Own end-to-end operational health for payment partners in Mexico, monitoring KPIs, troubleshooting integrations, analyzing large datasets, and driving improvements in payment flows, routing, and partner performance. Lead RCAs, build dashboards, present executive BEAT reports, and support product and growth teams with data-driven insights and automation/AI initiatives.

As a Senior AI Process Architect, you will lead the design and implementation of AI workflows in marketing, collaborating with stakeholders to enhance performance and ensure compliance with legal standards.

The IT Internship involves supporting team strategies, assisting in development of new ideas, and participating in change management initiatives under supervision.

As a Lead AI Engineer, you will build an AI harness for supplier agents, manage context, design sub-agent patterns, and debug production behaviors, collaborating with a senior engineer on architecture.

As a Sr. Lead AI Engineer, you will develop the agent harness for supplier agents, focusing on platform design and cloud infrastructure deployment while collaborating with product and engineering teams.

Lead the implementation and monitoring of Supply Chain digitization solutions, ensuring effective project management, performance analysis, and team training.

Design, implement, and scale applied AI solutions, agents, and automations within Business Operations. Integrate AI across Microsoft 365 (Power Automate, SharePoint, Teams, Outlook), structure data and workflows, lead testing and governance, create training and enablement materials, and partner with stakeholders to prioritize use cases and drive scalable AI adoption and measurable operational improvements.

The HR AI Specialist designs and deploys AI and ML models to optimize HR workflows, ensuring compliance and integrating with IT systems.

Lead security architecture strategy, conduct threat modeling and risk assessments, ensure integration of security in product development, and collaborate on cybersecurity initiatives.

Execute data and document onboarding, process AI-assisted workflows within SLAs, review AI outputs for quality, refine operational procedures, collaborate with customer-facing teams, and serve as an operational contact for internal and external stakeholders.

Design, develop, test, deploy, and maintain RPA automation and AI agent solutions (e.g., Copilot Studio). Build integrations with ERP, MES, OA and other systems, optimize workflows for stability and efficiency, produce technical documentation and training, and provide user support.

The Marketing Video Artist will create engaging video ads, manage the editing process, leverage AI tools, and optimize content for various platforms.

The Director of Engineering will lead the Epiq AI Labs team, focusing on hands-on engineering and team management, and will ship production code while mentoring engineers and ensuring quality standards.