Top Artificial Intelligence Jobs in Mexico

The Applied AI Engineer will develop and deploy AI automation solutions, integrate LLMs, and collaborate with clients to enhance workflows and systems.

The AI Engineer + Data Engineer will develop data pipelines, integrate LLMs for automation, and ensure data quality, collaborating with various teams to deliver impactful data platforms.

The AI Applications Engineer will design and develop AI-powered applications, automate workflows, maintain internal tools, and collaborate with teams to enhance business insights.

Develop and benchmark advanced robotics algorithms for efficient solutions in autonomous systems and edge robotics. Integrate robotic systems and publish results in journals.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

The role focuses on defining and scaling AI-enabled QA capabilities, researching technologies, designing solutions, supporting sales, and mentoring teams.

Lead AI initiatives, mentor engineers, and solve complex problems using advanced AI/ML techniques, optimizing models for performance and scalability.

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.

This role involves capturing point-of-view videos of various household tasks to train AI systems. Participants will follow specific guidelines for video quality and data collection.

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.