Top Artificial Intelligence Jobs in Mexico City

Support Mexico controllership by monitoring regulatory changes, maintaining internal controls, preparing local GAAP financial statement disclosures, supporting audits, and testing spreadsheet controls to mitigate risk and ensure compliance.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, internal tooling, evaluation systems, spend controls, identity and access controls, provisioning, vendor configuration, and policy enforcement. Provide technical enablement through documentation, deep dives, and office hours while supporting teams and administering the enterprise AI estate.

Leads and mentors an engineering team building scalable, reliable AI-powered solutions for PMG’s Alli marketing platform. Responsibilities include defining technical roadmaps, designing and deploying AI features, collaborating with product and cross-functional teams, guiding architecture and engineering practices, conducting code reviews, debugging, testing, and staying current with emerging AI and machine learning technologies.

Analyzes human-generated data quality across AI programs using SQL, Python, statistical methods, and hands-on annotation review. Investigates quality issues, identifies failure patterns, measures impact, and develops recommendations. Supports quality pipelines, automated validations, rubrics, gold sets, calibration exercises, reporting, and dashboards. Collaborates with quality engineering, operations, delivery, and engineering teams to improve annotation design, training, tooling, and quality controls.

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.

Design and optimize production-grade Databricks lakehouse architectures using medallion layers, Spark, Delta Lake, and Unity Catalog. Govern data and AI assets, implement cloud security, tune performance, optimize costs, and develop advanced SQL and Python or Scala solutions. Preferred experience includes GenAI, MLflow, CI/CD, streaming, orchestration, data warehousing, BI integration, and Databricks certifications.

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.

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.

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.

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.

Join a global contributor network supporting flexible AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and verify cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

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.

Designs domain AI architecture and developer experience solutions. Responsibilities include software engineering, cloud and platform architecture on Azure, DevOps and DevSecOps, developer tooling, reusable patterns, architecture governance, documentation, enablement, and cross-functional collaboration. AI, generative AI, and multi-tenant SaaS experience are preferred. The role is remote and requires advanced English proficiency.

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 bespoke AI/LLM-driven solutions on the Salesforce platform. Handle end-to-end delivery including data modeling, integration, agent orchestration, debugging, prototyping, and client-facing implementation and optimization.

Lead the architecture and development of scalable AI/ML pipelines and production systems, including LLMs and Generative AI. Mentor engineering teams, guide technical decisions, operationalize models, optimize performance and costs, and implement MLOps practices such as CI/CD, monitoring, versioning, and maintenance. Partner with executives, clients, product managers, data scientists, and software engineers to align AI roadmaps with business goals and integrate ethical AI capabilities into enterprise applications.

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.

Lead design and evolution of scalable, secure cloud-native SaaS platforms using C#/.NET. Define architecture standards, champion microservices, DDD, CQRS, event-driven and API-first approaches, mentor engineers, improve performance, observability, and security, and integrate AI-assisted development tools and workflows across teams.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

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.