Top Artificial Intelligence Jobs in Mexico City

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 Senior Manager will lead marketing analytics projects, collaborate with cross-functional teams, and drive data-driven decision-making for Pfizer's media investments.

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

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 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.

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

The Senior Manager of Strategic Sourcing will lead IT sourcing events, mentor a team, and drive procurement strategies for AI technologies, ensuring alignment with global business goals.

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

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.

Design and develop automation solutions using AI, work with data teams to build pipelines, and enhance data retrieval with LLM-powered applications.

As a Python Software Engineer, you will design automation solutions, create AI-powered agents, and enhance data retrieval through LLM applications while collaborating with business teams.

The Revenue & AI Operations Analyst optimizes automated sales systems, ensures CRM integrity, manages AI communications, and leads QA processes to enhance sales efficiency.

The Gen AI Data Engineer will develop and maintain Python-based applications, create data pipelines, collaborate with software developers, and improve analytical models through data analysis.

As a Principal Software Architect, you'll lead platform integrations, architect scalable cloud-native applications, and leverage AI/ML for enhanced security. You'll work collaboratively across teams and mentor engineers while ensuring system optimization and operational excellence.

The Lead AI Forward Engineer designs AI-powered solutions within the AI Reimagine program, guiding architecture and implementation across technology teams to optimize operational efficiency and automation.

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

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.

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.

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.

Own and drive the identity product strategy and roadmap for onboarding, verification, authentication, and account recovery. Collaborate with engineering, design, fraud, and compliance to build secure, scalable identity systems, design data schemas, define KPIs, and explore AI/ML solutions to improve verification and user experience.

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.