Top Artificial Intelligence Jobs in Mexico

As an SMB Solutions Architect, you will guide small and mid-sized customers in using the GitLab DevSecOps platform to achieve technical and business goals, collaborating with cross-functional teams and Account Executives to ensure customer success.

The AI Engineer will implement AI projects to enhance efficiency and quality, collaborating across teams to develop and execute innovative AI solutions.

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

The Senior Automation and AI Engineer will develop and integrate AI-driven tools, automate processes, and collaborate on AI literacy within teams, ensuring compliance and security in AI solutions.

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 complex audit engagements across the Americas, identify risks, provide recommendations, and develop auditors. Influence senior stakeholders and drive improvements through innovative practices.

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

The Platform Engineer will develop AI-driven tooling for testing performance and functionality, enabling engineering teams to enhance code efficiency and quality.

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.

The Product Owner will drive development of web platforms, manage the product lifecycle, prioritize backlogs, and ensure products meet business goals.

The Supply Chain Data Scientist analyzes complex datasets, develops predictive models, collaborates with teams, and communicates insights to improve business strategies.

The Technical Advisor manages post-sales customer relationships, providing cybersecurity expertise and supporting adoption of the TrendAI platform to strengthen security posture and drive value realization.

The AI & Transformation Intern will support IT and Clinical Platforms teams, focusing on AI tools and user engagement strategies, while gaining experience in cloud computing and agile practices.

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.

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.

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

The Senior Data Analyst will interpret ML/AI model outputs, create executive reports, write SQL and Python scripts for data analysis, and develop dashboards to monitor business KPIs. They will also ensure data governance and communicate insights to senior executives.

Drive advanced manufacturing strategies and optimize processes while implementing technologies for operational excellence and innovation. Collaborate with teams to improve productivity and lead various engineering tasks, also focusing on automation and robotics.

The role involves designing, developing, and delivering AI-based technical solutions to enhance business processes, collaborating with stakeholders, and ensuring model accuracy.

The Digital Solution Executive will drive sales of digital solutions, design proposals, and manage complex deal logistics and negotiations.

Lead cloud architecture design and propagate architecture standards. Design, migrate and maintain cloud/serverless solutions on Azure, ensure nonfunctional requirements, support project and application managers, and communicate architecture to development teams.

The GenAI Platform Engineer will design, implement, and manage infrastructure for AI initiatives, oversee CI/CD pipelines, and ensure data pipeline performance while collaborating with cross-functional teams.

The role involves developing backend systems with Java and Spring Boot, designing APIs, integrating AI features, and ensuring system performance and reliability.

Lead large cross-team product and platform programs across Marketplace initiatives, focusing on planning, execution, risk management, and stakeholder alignment for successful delivery of technical projects.

The role involves advanced data analysis, proficiency in SQL and Snowflake, data visualization, and applying AI tools to extract insights.