Top Artificial Intelligence Jobs in Mexico

Design, develop, and deploy enterprise AI applications using .NET, C#, Python, Azure, LLMs, Generative AI, and Agentic AI. Build intelligent agents, multi-agent workflows, and RAG solutions with vector databases. Integrate AI services with enterprise systems, APIs, and data platforms while ensuring security, governance, scalability, and performance. Mentor engineers, conduct code reviews, collaborate with stakeholders, and establish AI engineering best practices.

Build and support Klar’s AI capabilities through data quality maintenance, audits, validation, KPI reporting, process automation, and infrastructure development. Analyze data to support strategic decisions and communicate findings to technical and non-technical stakeholders. The role is hybrid and based in Mexico City.

Own outbound prospecting to senior finance leaders across Mexico and Colombia, creating multi-channel campaigns through email, LinkedIn, WhatsApp, and related channels. Use AI, automation, enrichment tools, and CRM workflows to improve research, prioritization, personalization, and follow-up. Build and test sales experiments, analyze conversion performance, optimize the sales stack, and document scalable playbooks. Partner with account executives, sales leadership, and RevOps to strengthen Clara’s outbound engine.

Lead generative AI and creative technology for Salesforce’s Mexico City creative team. Develop cinematic images and video, engineer prompting and generation pipelines, direct visual storytelling, oversee art direction and finishing, and maintain commercial-quality outputs. Test and document emerging AI tools, manage licenses, collaborate with creative teams, and accelerate production workflows across motion and static campaigns.

Design, build, and deploy production-grade agentic AI systems at enterprise scale. Lead client engineering engagements, define RAG and multi-LLM integration standards, own LLMOps (eval, observability, cost/safety controls), and publish reusable patterns and metrics for program-level AI impact.

Designs, reviews, and operates production-grade security automation and AI capabilities. Builds API integrations, agentic workflows, CI/CD pipelines, and orchestration systems supporting incident response, threat intelligence, detection engineering, and threat hunting. Establishes engineering, safety, reliability, auditability, and change-management standards while partnering with security teams. Evaluates AI and automation technologies, participates in on-call support, and enables scalable, maintainable security operations platforms.

This role involves leading strategic planning, product innovation, and cross-functional collaboration to enhance pharmacy analytics and drive growth initiatives for CVS Health.

Develop and support enterprise applications using Java microservices, Angular, RESTful APIs, and modern AI development tools. Lead software development across analysis, design, coding, testing, deployment, and ongoing support. Build Gen AI and Agentic AI implementations, automate CI/CD quality and testing processes, assess application risks, and advise stakeholders. Provide technical guidance to junior analysts while applying financial-industry knowledge across wealth management, retail banking, CRM, investment products, and back-office operations.

Design performance creatives, landing pages, lifecycle journeys, and conversion flows for acquisition across three Latin American markets. Use generative AI and automation tools to accelerate production, build scalable Figma systems, maintain brand consistency, and support creative testing. Partner with Paid Media to analyze performance metrics, develop hypotheses, and optimize assets through A/B testing. Scout emerging AI tools, document workflows, and manage multiple formats and languages in parallel.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

The Freelance AI Artist will produce high-quality images and videos using AI technologies, collaborating with marketing to align with brand identity and experimenting with new workflows.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

The role involves developing features for an AI platform, designing architectures, building backend services in Python, and frontend components with React, ensuring performance and scalability while collaborating in a startup environment.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

Develop server-side APIs for user authentication and data management, utilizing AI-assisted tools while ensuring code quality and addressing customer issues at scale.

Build and maintain end-to-end data pipelines, models, data marts, and semantic layers supporting agency, client, BI, product, and AI consumers. Integrate fragmented marketing and customer data across advertising platforms, e-commerce, analytics, and CRM systems. Manage dbt projects, multi-tenant Snowflake infrastructure, data quality, performance, and client-specific modeling. Use AI coding agents, cloud infrastructure, CI/CD, and automated testing while collaborating across product, engineering, analytics, and client teams.

Lead design and implementation of a scalable, secure multi-tenant SaaS using .NET and Angular. Own full-stack delivery from domain modeling through frontend, automated testing, CI/CD, and production support while mentoring engineers and leveraging AI-assisted development to accelerate quality delivery.

Work on customer-facing AI projects building AI-powered applications, intelligent agents, and automation workflows. Experiment with LLMs and cloud-native technologies, contribute reusable components to the platform, support design/testing/deployment, participate in code reviews, document solutions, and research emerging AI tools and best practices.

As an AI & Automation Specialist, you'll manage AI platforms, develop automation workflows, support user enablement, and ensure compliance with security standards.

Build and deploy production software for B2B fintech customers, owning features from design through monitoring and maintenance. Engineers may focus on backend-leaning product development or data and machine learning systems for risk, fraud, and spend intelligence. The role emphasizes AI-native development practices, strong software fundamentals, collaboration with Product and Design, ownership, and rapid learning in a multicultural environment.

Designs, builds, and optimizes enterprise-grade AI agents and scalable AI architectures. Advises enterprise leaders on AI strategy, leads agent development from scoping through production optimization, maps business challenges into technical workflows, collaborates with engineering and product teams, monitors live systems, troubleshoots issues, and identifies product improvements. Requires strong AI/ML, agent architecture, enterprise integration, consulting, and executive advisory expertise.

Build production LLM agents, multi-step workflows, MCP servers, evaluation and observability systems, and document-extraction pipelines. Architect AI-ready semantic data layers over Snowflake and dbt, develop Python ingestion and Airflow workloads, and implement retrieval, embeddings, governance, security, and reliable agent operations. Lead technical design, mentor peers, and advise clients in an embedded consulting engagement.

The Social Media & Content Operations Assistant executes content management and lead handling tasks, utilizing structured AI workflows and tools, while maintaining organization and consistency within the operations.

The role involves developing full-stack features swiftly, utilizing AI tools for coding, managing front and backend systems, and ensuring production quality through testing and CI.

Design, build, and deploy end-to-end LLM-based AI applications (RAG, fine-tuning, embeddings). Work with founders and clients, iterate rapidly, and own production delivery including cloud deployment and ML pipelines. Occasionally contribute to frontend, dev tooling, or data pipelines.