Top Artificial Intelligence Jobs in Mexico

The AI Data Engineer role focuses on building and maintaining data pipelines to support AI/ML models, ensuring high-quality datasets for analysis.

The Learning Experience & Design Specialist designs and develops digital learning modules incorporating AI tools and graphic design for leadership programs, ensuring high-quality engaging content and assessments.

The Reporting Analyst creates and maintains reports and dashboards, analyzes data, and provides insights to inform leadership decisions. Responsibilities include leveraging data to monitor performance metrics and collaborating with service teams.

Lead a team of 12-14 software developers, managing project activities, optimizing processes, conducting code reviews, and ensuring delivery of high-quality products.

As a Staff Software Engineer, you'll architect AI systems using .NET and Azure, design workflows, implement observability, and mentor teammates.

Design and implement .NET services and APIs integrating Azure OpenAI/AI Services; build RAG pipelines, agentic workflows, and Semantic Kernel plugins; implement observability; partner with product/security/data teams; mentor engineers and lead design reviews.

As an AI Architect, you'll design scalable IT systems, integrate AI solutions, lead technical strategies, and mentor teams, ensuring alignment with business goals.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

Lead the development and implementation of AI strategies within the Marketing team, ensuring effective adoption and measurement of AI tools, while fostering innovation and best practices.

Design and implement data-oriented processes for managing multi-modal data, build data infrastructure on AWS, and develop data pipelines using various tools.

The ML/AI Associate Director will lead the Foreseer AI team, overseeing platform development and technical design, while fostering an agile culture. Responsibilities include collaboration with stakeholders, compliance, and documentation.

Lead the design, development, and maintenance of AI/ML solutions while ensuring adherence to agile best practices, collaborating with stakeholders, and implementing security measures.

Design, develop and maintain microservices and RESTful APIs using Java and Spring Boot. Collaborate with teams and ensure high-quality engineering solutions.

Lead the B2B demand generation strategy, optimizing pipeline in the U.S. and Mexico through AI integration and collaboration across teams.

Lead identification, experimentation, and scaled adoption of AI solutions across Finance. Partner with Finance, IT, Data, Security, and Risk to design pilots, implement tools, train users, ensure governance, track outcomes, and provide executive recommendations.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

As an AI Services Consultant at Zendesk, you'll provide technical solutions for AI implementation, ensuring customer satisfaction and successful project delivery through effective change management and agile project management practices.

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.

Evaluate and annotate various types of content for quality and consistency, following structured guidelines during a data annotation project.

The AI/ML Engineer will assist in developing machine learning models, data preprocessing, testing, and integrating ML solutions while learning from experienced professionals.

Work on Applied AI platforms and features: design, build, and ship AI-powered full-stack systems (backend, APIs, data, frontend). Integrate embeddings, agentic systems, and automation into products and workflows, participate in production support, and collaborate with cross-functional teams under senior guidance.

Interns will work on developing AI/ML solutions for investment research, conduct quantitative analysis, and optimize financial models using large datasets.

The Machine Learning Engineer will develop and deploy ML solutions, focusing on computer vision and backend systems, collaborate with teams, and ensure reliable production-grade systems.

Own and execute customers' AI roadmaps, aligning product capabilities to business strategies, ensuring successful adoption, driving revenue growth, and achieving high customer satisfaction through effective stakeholder engagement.

The Tech & AI Content Course Creator will design AI curricula, create hands-on projects, prototype workflows, and adapt tech trends for the Hong Kong and Singapore markets, while collaborating globally and iterating based on feedback.