Top Artificial Intelligence Jobs in Mexico

Design, build, and deploy production-grade AI agents and autonomous workflows using LLMs, RAG, tool calling, memory, and orchestration frameworks. Integrate agents with enterprise systems, evaluate models, implement observability and guardrails, optimize performance, and create reusable prompt libraries and deployment patterns while collaborating with stakeholders.

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 enterprise cloud architecture on Azure, define standards for networking, security, IAM, and resource organization. Guide platform strategy for Snowflake/Databricks, design API-driven AI-ready systems, evolve CI/CD and IaC practices, reduce technical debt, and establish governance and reference patterns for AI-to-production.

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.

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.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

The Sr AI/ML Engineer will design and deploy machine learning models, build computer vision systems, and develop LLM-based features in a collaborative, fast-paced environment.

Early-career engineer role building AI-driven features, prototypes, and production-quality systems using modern AI coding agents. Work closely with founders and senior engineers to iterate fast, direct and evaluate AI agents, and contribute to AI infrastructure and agentic development workflows.

Lead development of AI-native production systems: convert AI-assisted prototypes into scalable, secure software; own architecture, reliability, and technical direction; direct and control AI coding agents; define engineering standards and workflows; collaborate with founders on product and strategy; debug complex issues and elevate engineering quality.

Create high-volume, high-quality marketing content using generative AI and AI agents (video, image, social). Develop timely campaign ideas, track AI and cultural trends, experiment with formats, and work closely with founders and the marketing team to shape brand voice and growth.

Build and maintain open source AI integrations, frameworks, and sample applications that demonstrate Backblaze B2 in AI workflows. Contribute to public repositories, ensure high standards for testing, documentation, and reproducibility, and collaborate with product and QA to reflect real customer AI workflows.

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.

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.

The UI Engineering Manager will oversee a team of UI Engineers, mentor them, manage project assignments, and drive continuous improvements while ensuring a customer-first approach.

The role involves managing a team of engineers, providing mentorship, conducting performance reviews, handling customer escalations, and leading development initiatives to enhance the product and support sales engagement strategies.

The AI Product Strategy Analyst coordinates product strategy initiatives, prepares executive materials, manages workplans, and synthesizes research findings to support AI integration into business operations.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Lead consultative business development and engagement management for AI transformation. Target C-suite enterprise accounts, scope and sell AI Transformation Pods, run discovery workshops, draft SOWs, build ROI models with clients, manage delivery expectations, host monthly business reviews, and expand account scope through upsell and stakeholder stewardship.

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.

Own and optimize AI-powered support tools (chatbots, agent copilots, knowledge retrieval, automation). Monitor performance, identify automation opportunities, create and test prompts/workflows, maintain training data, coordinate integrations, and produce documentation and training for support teams.

Design, build, and own AI-powered full-stack platforms and features end-to-end. Embed AI into customer-facing products and internal tools, drive ambiguous problem discovery to production rollout, ensure reliability/security, support incidents, and mentor team members.

Support Test Lead to design, size, integrate, and execute laboratory validation and stress tests for BESS and Grid-Following/Grid-Forming systems, analyze high-fidelity data, document results, and convert lab learnings into commissioning and troubleshooting materials while ensuring safety and compliance.

Design, develop, and support automation and AI-enabled solutions to streamline business and IT processes. Assess and migrate workflows, run process discovery workshops, implement automated regression testing, pilot AI use cases, mentor team members, and troubleshoot automation solutions to deliver measurable business value.