Top Artificial Intelligence Jobs in Mexico City

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.

Support Mexico controllership by monitoring regulatory changes, maintaining internal controls, preparing local GAAP financial statement disclosures, supporting audits, and testing spreadsheet controls to mitigate risk and ensure compliance.

Lead pre-sales solution design for enterprise clients: gather requirements, produce technical proposals, cost/effort estimates, high-level designs, and statements of work. Support sales and delivery teams, enable CX and cloud-native architectures, and expand into AI, automation, and data-driven solutions.

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.

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.

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%.

Drive partner and customer adoption of Microsoft Fabric and Data & AI solutions. Build and enable partner network, generate pipeline, run enablement events, collaborate with internal sales and technical teams, support customer conversations, monitor KPIs, and promote Azure-based data and AI offerings.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

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.

Design, build, and maintain ML models and data pipelines to support AML and business decisions. Ensure data quality, automate processes, generate KPI reports, analyze large datasets, and communicate insights to cross-functional stakeholders.

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.

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.

As an Agentic AI Solutions Architect, lead technical client interactions, design data and AI architectures, and implement automation solutions, ensuring effective use of AI. Collaborate with clients to optimize operations and deliver measurable ROI through innovative technology solutions.

Design, build, and scale end-to-end AI agent-driven workflows that automate marketing and business processes. Translate requirements into reliable, monitored agent systems, define guardrails and validation, optimize prompts and tool usage, and integrate APIs, databases, and reporting tools to improve efficiency with minimal human intervention.

Lead AI product vision, strategy, and roadmap; prioritize initiatives, manage backlog, translate requirements into user stories, and drive adoption of LLMs, RAG, semantic search, and enterprise knowledge solutions while ensuring Responsible AI and governance.

Build, configure, and optimize AI-powered agents, workflows, and conversational experiences for HR and workplace systems. Implement end-to-end use cases, integrate enterprise systems, ensure privacy/security compliance, monitor quality metrics, and create reusable templates and documentation while collaborating with global People & Places, IT, and Security teams.

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

As an AI/ML Engineer, design and implement AI solutions, collaborate with teams, build ML pipelines, and ensure quality and compliance in healthcare applications.

Serve as a client-facing support engineer for a fintech SaaS platform, triaging and resolving issues, using AI tools to enhance responses, logging and escalating tickets in Jira, executing basic corrective actions, and driving change requests from recurring feedback.

Design, build, and productionize stateful autonomous AI agents for a WhatsApp fintech product. Implement LLMOps, observability, containerized deployments, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

The AI Engineer will design, build, and scale autonomous AI agents, optimizing LLM capabilities and integrating them into the product, ensuring functionality across financial services.

Design, build, and scale production-grade, stateful autonomous AI agents; integrate agents into payments, fraud, and core product systems; implement LLMOps, observability, and evals-as-code; optimize RAG/vector DB pipelines for performance and cost; handle containerization, CI/CD, and post-launch stability; mentor engineers and drive best practices.

Design, build, and scale production-grade, stateful autonomous AI agents for a WhatsApp-based fintech. Implement LLMOps, observability, RAG/vector DBs, containerized deployments (Docker/Kubernetes), eval pipelines, cost/performance optimizations, and mentor engineers to ship robust, tested agentic systems integrated with payments, fraud, and core product infrastructure.

Design, build, and scale production-grade, stateful AI agent systems integrated into core product flows. Implement LLMOps, observability, containerized CI/CD deployments, RAG/vector DBs, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

Perform part-time remote data tasks to improve Spanish (Mexico) AI outputs: collect, evaluate, annotate, and tag content across audio, video, images, and other data; perform pairwise comparisons and counting tasks. Flexible schedule, immediate start.