Top Artificial Intelligence Jobs in Mexico

Provide technical support to customers via phone, chat, and email. Troubleshoot technical issues, guide users through solutions, and document resolutions. Foster collaboration and share knowledge within the support team while maintaining high customer satisfaction.

The Data Annotator will analyze live videos for risk identification and support AI/ML model training by generating accurate training datasets. Requires good communication, attention to detail, and ability to collaborate in a 24/7 environment.

Support AI product initiatives by developing and evaluating algorithms, creating data pipelines, and measuring skill proficiency through learning activities.

As a Campus Ambassador, engage with students to collect data for AI and robotics initiatives, ensuring quality and excitement about the technology.

The role involves collaborating with client teams on data integration, improving product architecture, developing pipelines, and providing technical expertise to ensure client success with BrazeAI.

The Applications Support Sr Analyst provides technical and business support for Citigroup applications, driving stability and efficiency. Responsibilities include maintaining application systems, managing risk, producing contingency plans, and liaising between users and technology teams. Required skills include strong analytical abilities and clear communication. Candidates should have 5-8 years of relevant experience.

Build and own observability, lifecycle management, and tooling for LLM-powered features. Design closed-loop evaluation pipelines, dashboards for cost/usage/latency, tie user feedback to prompts, and establish prompt development, testing, deployment, and monitoring best practices while partnering across engineering teams.

The role involves overseeing multiple projects within the EPMO, driving project delivery, coaching leaders, and integrating AI solutions while ensuring alignment with enterprise objectives.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Lead the development of AI self-service platforms to enhance customer experience, focusing on performance analysis, strategic collaboration, and innovation in conversational AI.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

Manage the end-to-end infrastructure lifecycle, lead technical teams, coordinate security and architecture alignment, and manage vendor relationships for IT infrastructure projects.

Lead cross-functional data initiatives, manage vendor deliverables, oversee financial and risk processes, and drive stakeholder alignment in data strategy integration.

Lead the implementation and monitoring of Supply Chain Digitization solutions, ensuring project planning, KPI assessment, and training for local teams while contributing to technological advancements.

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

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

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

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 Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

The Technical Product Manager will own the core Identity experience, drive product strategy, collaborate with cross-functional teams, and ensure data integrity in user verification processes.

As the Identity Product Manager, you'll own the strategy and execution of identity verification and onboarding, collaborating with cross-functional teams and leveraging AI to enhance user experience and security.

The Technical Product Manager will lead the identity verification experience, managing product strategy, data architecture, and cross-functional collaboration, while analyzing metrics and driving AI innovations.

The Marketing Consultant II role involves managing B2B marketing initiatives, developing consumer content, leading cross-functional teams, and optimizing marketing strategies using data insights.