Top Artificial Intelligence Jobs in Mexico

Build and maintain Python/FastAPI backend services and APIs, implement React frontend components, integrate MongoDB and AWS, collaborate via GitHub, participate in agile sprint planning, and work with AI and product teams to improve scalability and reliability.

Lead design, build, and scale client-facing and internal automation systems. Create advanced workflows (GoHighLevel, n8n/Make/Zapier), integrate platforms via APIs/webhooks, document SOPs, advise clients, maintain CRMs and troubleshoot live systems for reliability and scalability.

Drive end-to-end high-ticket sales in AI and automation: prospect, conduct discovery calls, nurture leads, manage pipeline in CRM, and close deals. Execute high-volume outbound campaigns using cold calling, email, and LinkedIn while meeting revenue targets and refining outreach with leadership.

Design, develop, and deploy scalable AI/ML solutions using LLMs and generative AI. Build RAG systems, chatbots, automation workflows, and production model pipelines; collaborate with product and engineering teams, monitor and improve model performance, and document systems.

Outbound-focused SDR role selling AI SaaS: prospect via calls, email, and LinkedIn; qualify leads, engage decision-makers, book demos for AEs; maintain CRM records and meet monthly KPIs while collaborating with marketing and sales.

Design, build, and maintain AI-driven automations and lightweight internal tools using Make.com, LLMs, APIs, and basic code. Integrate platform data (Shopify, Google Ads, Meta, Looker Studio), document systems, train staff, and research emerging AI tools to boost team efficiency and scale operations.

Manage and deploy AI-driven automation and workflows, onboard clients, translate requirements into actionable automations, design prompts for LLMs, troubleshoot and iterate systems, coordinate with AI engineers, and track project timelines and performance.

Lead quality strategy for AI-enabled products by designing scalable automated test frameworks, validating AI-generated outputs and agentic workflows, integrating tests into CI/CD, defining quality metrics, identifying risks, and mentoring engineers to improve cross-team quality practices.

Lead pre-sales and delivery of OpenShift AI solutions: design and implement enterprise AI/ML platforms, drive MLOps adoption, architect training/serving/inference at scale, support Generative AI and LLM deployments, ensure governance, automation, and alignment with business and IT strategies.

Lead frontend architecture for Clara Builders (Next.js 15, React, TypeScript), extend backend/infra (Prisma/Postgres, deploy pipeline), work on the Cloudflare AI Gateway and agent infrastructure (Figma-to-code MCP, documentation agents, n8n automations), design and ship new AI tooling (OAuth clients, unified access), and raise technical standards across the pod through ownership and code review.

Lead architecture and build cloud-native, resilient enterprise software and Agentic/Generative AI solutions for Claims Adjudication. Design microservices, APIs, CI/CD and observability; integrate LLMs, vector stores, and orchestration frameworks; ensure AI governance and production reliability while mentoring teams and aligning technical strategy with business outcomes.

PhD interns will design and build LLM-powered pipelines (structured data extraction, RAG, prompt engineering), develop Python/SQL data pipelines and quantitative models, analyze large financial datasets, and document and communicate technical findings to technical and non-technical stakeholders.

As an AI Engineer, you will develop and implement internal automation workflows, integrating various tools and APIs to improve productivity in design and development processes, primarily using LangChain and related frameworks.

Lead and coordinate cross-functional value-creation and AI transformation initiatives: define measurable use cases, build KPI dashboards and business cases, track execution and benefits, support operating-model and SI transitions, and prepare executive-ready reporting to drive adoption and measurable business impact.

Lead design and evolution of a large-scale distributed backend platform. Build and optimize microservices, APIs, and event-driven data workflows on cloud infrastructure. Drive architectural decisions, ensure scalability, availability, security, and observability; integrate AI/ML capabilities; mentor engineers; and lead incident response and continuous platform improvements.

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.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

Lead identification, design, deployment, and measurement of AI-powered automations across operations. Map high-friction workflows, build agent- or rule-based automations, create Metabase dashboards, partner with Product/Engineering to instrument data, and document solutions for handoff.

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.

Lead AI-first HR operations by auditing HR workflows, designing and deploying AI tools, building people analytics dashboards (headcount, turnover, compensation, DIB), driving adoption, and partnering with HR teams to scale data-driven, measurable solutions.

Lead the product strategy for Scribd's internal developer and agentic platforms: unify AI workstreams, own internal app/plugin/agent runtimes, translate functional needs into platform requirements, drive cross-functional adoption and metrics, and run internal rollouts and evaluation to prove impact.

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.

The Tech & AI Content Course Creator will design AI curricula, create hands-on projects, prototype workflows, and adapt tech trends for the Hong Kong and Singapore markets, while collaborating globally and iterating based on feedback.

As a Lead Software Engineer at PMG, you will design, develop, and deploy scalable AI-driven solutions, mentor other engineers, and enhance the Alli platform for digital marketing. Responsibilities include coding, code reviews, and integration with cross-functional teams.