Top Artificial Intelligence Jobs in Mexico

Lead customer-facing architecture and delivery engagements for secure, scalable, AI-ready Microsoft Azure data solutions. Guide enterprise customers through architecture design, proofs of concept, production deployments, migrations, adoption, and optimization across Microsoft Fabric, Azure Databricks, Cosmos DB, Purview, and Azure AI Foundry. Serve as a trusted executive advisor, remove technical blockers, drive consumption and business value, develop reusable intellectual property, and enable internal teams on Microsoft AI and data platforms.

Build AI agent discovery across cloud platforms and endpoints, assess agent configurations, access, and security risks, and integrate findings into Delinea’s identity and attribution layer. The role involves extending existing discovery and inventory systems, partnering with platform teams, and designing backend solutions for Azure while expanding to AWS and Google Cloud.

Build and maintain BI dashboards, reporting tools, and automated data workflows. Analyze customer behavior, funnels, retention, engagement, and product adoption to deliver actionable insights across Product, Operations, Marketing, Finance, and Leadership. Use AI tools and APIs to improve analytics workflows, self-service exploration, data-quality checks, and insight generation while validating accuracy, privacy, and business impact.

Design AI curricula, syllabi, hands-on projects, course materials, and executive learning experiences. Research and test emerging AI tools, LLMs, image-generation systems, and automation platforms. Prototype reliable coded and no-code workflows, translate complex technical concepts into clear narratives, and collaborate with instructors to improve content. Localize global technology trends for Hong Kong and Singapore business environments.

Own the architecture, deployment, reliability, and cost optimization of production AI/ML infrastructure on GCP. Build model serving systems, reproducible ML pipelines, GitOps workflows, and multi-tenant Kubernetes platforms. Manage LLM and agentic workloads, Terraform infrastructure, observability, SLOs, drift monitoring, accelerator capacity, and inference costs. Define operational standards, improve automation, and guide platform evolution for scalable enterprise-grade ML systems.

Lead the architecture and delivery of complex, production-grade digital products while remaining hands-on in React, TypeScript, AWS, APIs, backend services, and distributed systems. Partner directly with clients and senior stakeholders, guide technical decisions, lead projects from discovery through production, mentor engineers, and establish engineering standards. Incorporate AI-assisted and agentic coding tools into development workflows, with opportunities to build AI-powered applications and lead cloud modernization initiatives.

Architect and deliver production-grade cross-platform mobile applications using Flutter and/or React Native. Lead architecture, development, testing, performance optimization, CI/CD, and App Store and Google Play deployment. Integrate APIs, cloud services, authentication, SDKs, and AI/LLM capabilities. Collaborate with clients and product teams, make pragmatic technical decisions, mentor engineers, and establish mobile engineering standards while using AI-assisted and agentic development tools.

Assess clients' support platforms and operations, perform discovery/audits, develop AI readiness assessments and roadmaps, recommend AI-powered solutions (chatbots, NLP, auto-triage), design scalable workflows and automation strategies, translate findings into executive-ready recommendations, and stay current on AI and support automation best practices.

Own Clara’s enterprise AI automation strategy and lifecycle, from identifying high-friction workflows through deployment, scaling, and impact measurement. Build AI-powered workflows with N8N and LLM APIs, create operational dashboards in Metabase, identify data gaps, and partner with Engineering on Databricks pipelines. Support product launches, establish AI operations best practices, document systems, and collaborate with senior leaders across Product, Sales, Finance, and Engineering.

Own Aleph’s shared AI foundation, including model selection and routing, proxy infrastructure, context management, tool design, and evaluation systems. Ship production agentic features using prompt engineering, caching, parallel tool calls, and subagents. Build observability for agent performance, collaborate with customers and finance experts to define quality standards, and drive adoption of reliable AI systems across product teams.

Create polished digital illustrations, concept art, characters, environments, and stylized artwork across multiple visual styles. Collaborate with AI researchers and creative teams, document prompts and production metadata, incorporate feedback, and deliver production-ready work on schedule. Strong skills in composition, lighting, color theory, rendering, and visual storytelling are required, along with proficiency in Adobe Photoshop or Procreate.

Industry Expert who reviews advanced AI and systems engineering projects, leads technical defenses and mock architecture review boards, hosts occasional design sessions, and sets technical standards for instructors. The role requires senior-level production engineering experience, strong architectural judgment, the ability to critique systems live, and expertise in AI/ML engineering, AI systems, or forward-deployed engineering. This is a fully remote commitment of 4–10 hours monthly with negotiable hourly compensation.

Designs, develops, integrates, and deploys intelligent solutions using machine learning, deep learning, generative AI, and LLMs. Builds production-ready AI applications, RAG pipelines, and NLP systems; manages model evaluation, optimization, monitoring, versioning, and deployment. Collaborates with engineering, product, and data teams in a distributed environment while emphasizing scalability, maintainability, testing, observability, responsible AI, and cost efficiency.

Serves as a hands-on technical anchor for an engineering team, owning architecture and critical-path development. Designs and builds scalable full-stack applications, microservices, REST APIs, event-driven integrations, cloud-native services, Python AI workflows, and data pipelines. Partners with product and business stakeholders on technical roadmaps, maintains code quality, security, and reliability standards, leads complex initiatives, reviews code, and mentors engineers.

Design and deploy enterprise AI applications using .NET, C#, Python, Azure, LLMs, Generative AI, Agentic AI, and RAG architectures. Develop intelligent agents, integrate AI services with enterprise systems, build reusable components, and ensure security, governance, scalability, and performance. Collaborate with cross-functional stakeholders, conduct code reviews, mentor engineers, and establish AI engineering best practices.

Design, build, deploy, and troubleshoot production-grade AI applications, integrations, pipelines, and agentic workflows for customers. Lead technical discovery, workshops, architecture discussions, prototyping, and go-live support. Translate customer needs into reliable systems and product feedback, establish reusable engineering patterns, collaborate across Product, Sales Engineering, Customer Success, and Engineering, and mentor customer-facing engineers. Travel to customer sites as needed.

Design and optimize Databricks Lakehouse architectures and scalable ETL/ELT pipelines across AWS, Azure, and GCP. Build Spark and Delta Lake workflows for structured and unstructured data, tune performance and cloud costs, and integrate MLflow for AI model operationalization. Implement CI/CD and infrastructure-as-code deployments, enforce governance and security through Unity Catalog, and collaborate with client leaders to deliver production-ready data and AI solutions.

Produce commercial image and video content using generative AI models, prompt engineering, model training, and internal tools. Collaborate with creative and post-production teams to integrate AI assets into campaigns, ensure brand consistency and quality, improve workflows, evaluate emerging models, document processes, and coach colleagues on AI techniques and tools.

Freelance English-to-Turkish localization evaluator reviewing machine-translated and AI-generated software content for accuracy, fluency, terminology, formatting, and usability. The role involves identifying translation errors, validating UI strings and technical documentation against style guides, providing quality feedback, and collaborating with localization teams. Candidates must be native Turkish linguists with strong written English, substantial IT/software translation experience, and availability within US, Canadian, or Latin American time zones.

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.

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

Design, develop, and deploy enterprise AI applications using .NET, C#, Python, Azure, LLMs, Generative AI, and Agentic AI. Build intelligent agents, multi-agent workflows, and RAG solutions with vector databases. Integrate AI services with enterprise systems, APIs, and data platforms while ensuring security, governance, scalability, and performance. Mentor engineers, conduct code reviews, collaborate with stakeholders, and establish AI engineering best practices.

Build and support Klar’s AI capabilities through data quality maintenance, audits, validation, KPI reporting, process automation, and infrastructure development. Analyze data to support strategic decisions and communicate findings to technical and non-technical stakeholders. The role is hybrid and based in Mexico City.

Own outbound prospecting to senior finance leaders across Mexico and Colombia, creating multi-channel campaigns through email, LinkedIn, WhatsApp, and related channels. Use AI, automation, enrichment tools, and CRM workflows to improve research, prioritization, personalization, and follow-up. Build and test sales experiments, analyze conversion performance, optimize the sales stack, and document scalable playbooks. Partner with account executives, sales leadership, and RevOps to strengthen Clara’s outbound engine.

Lead generative AI and creative technology for Salesforce’s Mexico City creative team. Develop cinematic images and video, engineer prompting and generation pipelines, direct visual storytelling, oversee art direction and finishing, and maintain commercial-quality outputs. Test and document emerging AI tools, manage licenses, collaborate with creative teams, and accelerate production workflows across motion and static campaigns.