Top Artificial Intelligence Jobs in Mexico

Lead PMO governance and delivery for Latin America Payments Operations transformation: manage integrated plans, RAID, benefits realization, global standards alignment, stakeholder communication, tooling (monday.com, Jira), and adoption/rollout activities to ensure on-time, measurable operational improvements.

Develop, design, and troubleshoot software components as part of an agile team. Write secure, high-quality code, apply SDLC and automation tools, analyze data to identify issues, and contribute to system stability and scalability while learning cloud, AI/ML, and mobile technologies.

Lead planning and execution of software and application solutions, manage internal team and external suppliers, support regional and global software strategies, contribute to FP&A and financial controls, manage procurement and payments, drive cost savings, ensure SLAs/KPIs, and partner with business on transformation initiatives.

Design, layout, verify, and validate CMOS and metallization scribe test structures and TEGs to support process development, parametric correlation, failure analysis, and manufacturing integration. Collaborate with cross-functional teams and apply EDA tools, simulation, and AI to accelerate development and ensure silicon functionality.

Create digital and print campaign assets and storyboards, develop visual concepts and AI-assisted creative outputs for marketing and communications (Americas). Manage multiple projects end-to-end, collaborate with stakeholders, and refine production-ready assets using AI workflows.

Lead AI security operations for models and platforms: operate AI security tooling (red teaming, guardrails, AI-SPM), integrate into SecOps, design secure AI architectures, enable secure ML lifecycle, support governance, reporting, training, and continuous improvement.

Lead AI Security Operations work to protect AI platforms, models, and data through continuous assessment, monitoring, testing, and response. Operate AI security tooling (red teaming, guardrails, model evaluation, AI-SPM), integrate findings into incident response, design secure AI deployment patterns, embed controls across the AI lifecycle, support governance and audits, produce SOPs and reports, and provide training and POCs to improve AI security posture.

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 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.

This role focuses on building agentic outbound systems using AI and automation to improve efficiency, pipeline generation, and productivity within GO-to-Market strategies. Responsibilities include designing workflows, automating outreach, and collaborating with cross-functional teams.

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%.

Lead digital transformation initiatives across the Americas by gathering and documenting requirements, coordinating project workstreams, enabling adoption of Commercial/Medical/AI solutions, facilitating workshops and testing, mapping and improving processes, supporting governance and reporting, and ensuring compliance with quality, security, and regulatory standards.

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.

Lead and manage internal audits, develop audit programs, evaluate internal controls, prepare reports, and ensure compliance with regulations in Financial Services.

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.

The IT Internship involves supporting team strategies, assisting in development of new ideas, and participating in change management initiatives under supervision.

Lead end-to-end product ownership for AI-powered solutions (LLM and agentic experiences). Define vision and roadmap, translate strategy into EPICs and features, lead cross-functional teams, manage development lifecycle, analyze market trends, ensure delivery within budget and timelines, and communicate with technical and executive stakeholders.

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.

Lead the implementation and monitoring of Supply Chain digitization solutions, ensuring effective project management, performance analysis, and team training.

Design, implement, and scale applied AI solutions, agents, and automations within Business Operations. Integrate AI across Microsoft 365 (Power Automate, SharePoint, Teams, Outlook), structure data and workflows, lead testing and governance, create training and enablement materials, and partner with stakeholders to prioritize use cases and drive scalable AI adoption and measurable operational improvements.

Lead security architecture strategy, conduct threat modeling and risk assessments, ensure integration of security in product development, and collaborate on cybersecurity initiatives.

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.

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 Engineer, you will develop generative AI tools, automate processes, ensure AI system integration, and promote AI literacy across teams.

Lead design, development, and deployment of AI/ML solutions for manufacturing: create models for optimization, predictive maintenance, quality analytics; build data pipelines, scalable architectures; apply computer vision, NLP, and time-series methods; integrate with production teams; mentor engineers and drive Industry 4.0 initiatives.