Top Artificial Intelligence Jobs in Mexico City

The Software Engineer II role focuses on AI development, designing AI-powered workflows and tools to enhance software engineering productivity and collaboration across teams. Responsibilities include building AI agents, improving CI processes, and streamlining development environments.

Lead transformation of Modern Trade commercial capabilities across LATAM: upskill sales teams, optimize route-to-market and customer service, deploy sales force automation and AI-driven tools, manage bottler and distribution partnerships, and drive measurable improvements in revenue, OI, ICE, and OSA.

Diseñar, escalar y liderar una plataforma interna de monitoreo y gestión de información para relaciones con comunidades, conectando negocio con desarrollo, IT y data. Traducir necesidades en requerimientos técnicos, definir integraciones y automatizaciones, asegurar calidad y trazabilidad de datos, y validar casos de uso de IA y modelos predictivos. Adaptar la plataforma a marcos regulatorios internacionales y documentar procesos.

Deploy, configure, tune, and support CrowdStrike Falcon AI/ML detection and response capabilities. Optimize ML models, build automation playbooks, integrate AI into customer workflows, develop Falcon API scripts, support incident response and threat hunting, and deliver AI training and customer-facing collateral. Travel up to 25%.

The Principal Solutions Architect will lead technical architectures, drive AI-focused solutions, collaborate across teams, and mentor others to guide customers in maximizing GitLab’s DevSecOps platform's value.

Own end-to-end operational health for payment partners in Mexico, monitoring KPIs, troubleshooting integrations, analyzing large datasets, and driving improvements in payment flows, routing, and partner performance. Lead RCAs, build dashboards, present executive BEAT reports, and support product and growth teams with data-driven insights and automation/AI initiatives.

As a Lead AI Engineer, you will build an AI harness for supplier agents, manage context, design sub-agent patterns, and debug production behaviors, collaborating with a senior engineer on architecture.

As a Sr. Lead AI Engineer, you will develop the agent harness for supplier agents, focusing on platform design and cloud infrastructure deployment while collaborating with product and engineering 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.

Lead architecture and system design for Audit Suite AI backend and orchestration. Build scalable services (C#/.NET, Python/FastAPI, PostgreSQL, AWS), integrate LLMs and vector search, ensure low-latency, reliability, observability, and compliance. Mentor engineers, drive cross-team AI patterns, and launch production-grade generative AI workflows and guardrails.

Lead architecture and development of AI-first backend systems and orchestration for Audit Suite. Drive AI integration (LLMs, retrieval, vector stores), ensure scalability, reliability, observability, and compliance. Mentor engineers, lead cross-functional initiatives, shape roadmap and platform integration, and implement high-throughput, low-latency AI workflows across heterogeneous stacks.

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 AI Full Stack Developer will design and build AI applications using modern technologies, developing prototypes and production-ready systems while collaborating with various teams to leverage AI capabilities and enhance performance.

Design and deploy LLM-based integrations and agentic workflows across the GTM tech stack to boost pipeline, accelerate deal velocity, and reduce vendor spend. Build predictive models and Next-Best-Action recommendations, ensure data integrity in Salesforce, and train GTM teams on AI tooling and prompt/agent management to improve sales, marketing, and customer success outcomes.

Design, build, and deploy bespoke AI/LLM-driven solutions on the Salesforce platform. Handle end-to-end delivery including data modeling, integration, agent orchestration, debugging, prototyping, and client-facing implementation and optimization.

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.

The QA Automation Engineer will enhance testing processes, collaborate with teams to build automated frameworks, and support modern software delivery in a cloud-native environment.

Lead design and evolution of scalable, secure cloud-native SaaS platforms using C#/.NET. Define architecture standards, champion microservices, DDD, CQRS, event-driven and API-first approaches, mentor engineers, improve performance, observability, and security, and integrate AI-assisted development tools and workflows across teams.

As a Lead Software Engineer for AI, you will develop AI-powered systems, focusing on backend services, scalable production systems, and collaboration with cross-functional teams to deliver intelligent solutions.

Lead Product Engineer will develop AI-driven accounting software, focusing on backend services using Python, while also contributing to the frontend with React and Next.js. They will mentor team members and drive project success from ideation to release.

Design and build AI-powered IT help desk automation using AWS Bedrock and serverless tech. Develop AI agents for ticket triage, routing, IAM automation, REST integrations with enterprise systems, and scalable cloud-native architectures. Collaborate on architecture, integrations, and agent performance improvements.

Design and build enterprise-grade AI solutions using AWS Bedrock, develop AI agents and RAG pipelines, integrate ServiceNow and SAP, create secure REST APIs and document-processing workflows, build React frontends, implement GenAI CI/CD and Responsible AI governance, and collaborate with engineering and business teams to scale AI-powered automation.

The AI & Software Engineering Senior Manager directs a team in developing innovative digital marketing solutions, manages product roadmaps, and drives AI-powered projects for high-impact results in the media and advertising sector.

The AI & Software Engineer III designs and maintains data systems, optimizes data pipelines, develops APIs, and collaborates with teams to ensure data-driven solutions and insights.

The Senior Product Manager for AI will lead the AI transformation at Aplazo by owning the AI roadmap, delivering AI-powered features, and developing internal tools, all while collaborating with cross-functional teams.