Top Artificial Intelligence Jobs in Mexico

Build cloud and endpoint discovery capabilities for AI agents, assess their configurations, access, and security risks, and integrate findings into Delinea’s identity and attribution platform. The role requires backend development experience with cloud provider APIs, asset inventory systems, and existing platforms. Candidates should be able to solve ambiguous technical problems independently and may have experience with endpoint management, CSPM, CIEM, or AI agent authentication.

Build AI security capabilities into Delinea’s access proxy and cloud platform. Develop gateway controls for AI agents, MCP, agent-to-agent communication, just-in-time access, and request-path authorization. Connect existing proxy functionality to the Delinea Platform, validate it with customers, and migrate capabilities without disruption. Collaborate with product, proxy, and access-engine teams while making independent architectural and implementation decisions.

Build backend integrations connecting Delinea’s identity security platform with third-party AI ecosystems including Salesforce Agentforce, Microsoft Copilot, AWS, and Google Cloud. Develop connector and adapter patterns, retrieve native identity signals, support OAuth and token exchange, ingest webhook events, and govern AI agents through provider APIs and attestation. Contribute reusable discovery, identity, and policy capabilities while solving complex integration problems independently.

Lead IT operations across six Latin American countries, owning strategy, cloud and infrastructure, cybersecurity governance, service delivery, budgets, vendor management, and regional IT team development.

Build and deploy AI-powered prospecting agents, SDR tools, lifecycle automations, onboarding flows, and internal products. Integrate CRM, marketing, sales, and LLM systems using automation platforms and code. Own lead scoring, routing, SDR-to-AE handoffs, and lifecycle personalization while measuring impact on pipeline, activation, retention, and CAC payback. Partner with Sales, Lifecycle, Data, and Engineering teams to rapidly prototype, validate, scale, or discontinue automation initiatives.

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.

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 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.

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.

Builds the data and knowledge infrastructure powering AI agents, including production RAG pipelines, embeddings, vector search, reranking, ingestion, ETL/ELT, document processing, and knowledge architecture. Integrates Salesforce, ServiceNow, enterprise repositories, PostgreSQL, vector stores, and Snowflake while ensuring data quality, security, lineage, scalability, and retrieval performance. Develops multi-tenant indexing and feedback systems and collaborates with GenAI engineers in a remote Brazil-based role requiring fluent English and occasional travel.

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

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.

Designs, reviews, and operates production-grade security automation and AI capabilities. Builds API integrations, agentic workflows, CI/CD pipelines, and orchestration systems supporting incident response, threat intelligence, detection engineering, and threat hunting. Establishes engineering, safety, reliability, auditability, and change-management standards while partnering with security teams. Evaluates AI and automation technologies, participates in on-call support, and enables scalable, maintainable security operations platforms.

Design performance creatives, landing pages, lifecycle journeys, and conversion flows for acquisition across three Latin American markets. Use generative AI and automation tools to accelerate production, build scalable Figma systems, maintain brand consistency, and support creative testing. Partner with Paid Media to analyze performance metrics, develop hypotheses, and optimize assets through A/B testing. Scout emerging AI tools, document workflows, and manage multiple formats and languages in parallel.

The Freelance AI Artist will produce high-quality images and videos using AI technologies, collaborating with marketing to align with brand identity and experimenting with new workflows.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

Build and maintain end-to-end data pipelines, models, data marts, and semantic layers supporting agency, client, BI, product, and AI consumers. Integrate fragmented marketing and customer data across advertising platforms, e-commerce, analytics, and CRM systems. Manage dbt projects, multi-tenant Snowflake infrastructure, data quality, performance, and client-specific modeling. Use AI coding agents, cloud infrastructure, CI/CD, and automated testing while collaborating across product, engineering, analytics, and client teams.

Build and deploy production software for B2B fintech customers, owning features from design through monitoring and maintenance. Engineers may focus on backend-leaning product development or data and machine learning systems for risk, fraud, and spend intelligence. The role emphasizes AI-native development practices, strong software fundamentals, collaboration with Product and Design, ownership, and rapid learning in a multicultural environment.

Build production LLM agents, multi-step workflows, MCP servers, evaluation and observability systems, and document-extraction pipelines. Architect AI-ready semantic data layers over Snowflake and dbt, develop Python ingestion and Airflow workloads, and implement retrieval, embeddings, governance, security, and reliable agent operations. Lead technical design, mentor peers, and advise clients in an embedded consulting engagement.

Design, build, and deploy end-to-end LLM-based AI applications (RAG, fine-tuning, embeddings). Work with founders and clients, iterate rapidly, and own production delivery including cloud deployment and ML pipelines. Occasionally contribute to frontend, dev tooling, or data pipelines.

Embed with business teams to rapidly prototype, build, and ship AI-powered workflows: prompt layers, automations, lightweight agents, RAG, and API integrations. Translate workflow assessments into deployable solutions, run UAT, document handoffs, and feed learnings back to the AI Program Office.

Design, develop, test, deploy, and maintain RPA automation and AI agent solutions (e.g., Copilot Studio). Build integrations with ERP, MES, OA and other systems, optimize workflows for stability and efficiency, produce technical documentation and training, and provide user support.

Leads enterprise sales strategy and revenue growth for AI-powered eDiscovery, legal technology, compliance, analytics, and data intelligence solutions. Builds pipelines, manages complex consultative sales cycles, develops executive client relationships, expands strategic accounts, and positions responsible AI adoption. Partners with product, operations, legal, security, marketing, and executive teams on solution development, pricing, contracts, implementation, and market expansion across corporations, law firms, government, and regulated industries.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.