Top Artificial Intelligence Jobs in Mexico

Architect and implement reusable Angular UI frameworks and real-time chat components. Lead front-end engineering efforts, optimize performance and accessibility, integrate REST/WebSocket backends, support CI/CD and GCP deployments, and collaborate with Product, Architecture, and Design while mentoring peers.

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 Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

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

The Senior PIM & AI Solutions Engineer will enhance product data platforms using AI. Responsibilities include implementing automation, data modeling, and optimizing workflows.

The Senior SDET Architect will lead the test automation strategy, guide QA practices, and integrate AI capabilities within QA processes.

Coordinate marketing initiatives while ensuring quality assurance through AI-powered workflows. Manage campaigns, compliance, and prompt engineering for marketing tools.

Looking for a Staff AI Productivity Engineer to enhance the effectiveness of AI coding tools within engineering. Responsibilities include building infrastructure, integrations, and documentation to improve AI productivity across the codebase.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

As a Customer Technology Advisor at Kyndryl, you'll leverage your domain expertise and customer relations skills to deliver tailored technology solutions, drive sales, and exceed customer expectations through compelling proposals and collaboration with technical teams.

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 role involves onboarding new clients, configuring AI assistants, managing onboarding timelines, and providing client support to ensure successful implementations.

The AI Research Engineer will research, design, and optimize AI/ML algorithms, collaborate with engineering teams, and develop scalable solutions for advanced technologies.

Lead the design, deployment, and maintenance of AI agent solutions across the enterprise, integrating systems and optimizing performance while training end-users.

The role focuses on designing and implementing AI-powered workflows and supporting operations to enhance efficiency in a growing organization.

The Microsoft 365 AI Architect designs and operationalizes AI architecture in Microsoft 365, ensuring solutions are secure and scalable, while translating business objectives into actionable AI use cases.

The Data Quality Engineer ensures the quality and integrity of data in studies, developing measurement systems, automation, and conducting analysis to uphold standards across projects.

The AI & Automation Engineer will build and optimize AI agents, integrate data sources, and develop APIs and microservices while ensuring best coding practices.

The Sr. AI Engineer will design and implement scalable machine learning models, optimize ML operations, and mentor team members while collaborating across departments to enhance AI-driven features.

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.