Top Artificial Intelligence Jobs in Mexico City

Work on Applied AI platforms and features: design, build, and ship AI-powered full-stack systems (backend, APIs, data, frontend). Integrate embeddings, agentic systems, and automation into products and workflows, participate in production support, and collaborate with cross-functional teams under senior guidance.

The AI Engineer I will develop AI systems, build features, and integrate AI solutions into products and workflows, collaborating with teams for impactful solutions.

The Sr. AI Engineer will design, develop, and deploy scalable ML models, collaborate on AI-driven features, and mentor team members while optimizing machine learning infrastructure.

The AI Engineer II will develop AI-powered platforms, lead complex projects, and integrate AI capabilities into products, enhancing user experiences and driving productivity.

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 platform engineering for FICO Assistant's AI/ML infrastructure: design and operate model serving, training pipelines, vector search, cloud databases, IaC, CI/CD, monitoring, and 24x7 operational support.

Lead architect and hands-on builder for AI solutions: evaluate feasibility and data readiness, translate business problems into technical and algorithmic requirements, design high-level architectures and prototypes, drive PoC to production handover, set MLOps/API standards, mentor team, and align North American implementations with European enterprise governance.

Lead development of AI-assisted engineering tooling and infrastructure so agents can autonomously run in cloud dev environments, access CI/CD and internal systems, execute tests, and improve developer productivity through integrations, documentation, and enablement.

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.

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.

Design, build, and operate the infrastructure and platform services that power AI agent workflows in production. Ensure reliability, scalability, observability, and security of model-serving, orchestration, and compute layers. Build APIs, SDKs, IaC (Terraform), CI/CD pipelines, monitoring and incident-response processes, and collaborate with AI, data, and engineering teams to productionize agent prototypes.

As an AI Data Engineer, you will build end-to-end data pipelines, collaborate on AI features, and ensure data quality across our systems.

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.

Lead end-to-end production of vertical (9:16) short drama series: create scripts, direct, edit, and finish episodes (10-15 eps, ~1 min each plus trailer). Work with an AI copilot for casting and character consistency, collaborate with AI content creators and engineering, and iterate quickly using AI generation tools.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Manage and optimize the GTM technology stack (Salesforce, Marketo, Outreach, Gainsight), lead integrations, automate processes, support and train GTM teams, build reports/dashboards, manage vendors, ensure data governance and run GTM systems projects from design through deployment.

The role involves evaluating AI-generated content, generating original content, and providing structured feedback informed by local cultural insights while working flexibly as an independent contractor.

Build Claude-powered AI agent systems to replace manual operator judgment: design, implement, test, and maintain agents, MCP connectors, reviewer surfaces, and observability. Audit and upgrade existing Make/Zapier/GHL/Airtable automations, hand off maintenance, document systems, and partner with Tech Lead and operations teams to prioritize and deploy production-grade AI workflows.

Manage quality, workforce, and training programs for multilingual generative AI data projects. Oversee QA, capacity planning, training, dashboards, compliance, process improvement, stakeholder reviews, team coaching, and risk/change control to meet client SLAs and delivery targets.

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

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Embed on-site with mid-market CEOs to drive AI-native transformation end-to-end: own executive relationships, run cadences, translate problems into build-ready specs, manage rollout and adoption, and deliver finance-verified P&L outcomes while codifying repeatable deployment methods.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.