Top Artificial Intelligence Jobs in Mexico

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Leads Microsoft Dynamics 365 CRM and Copilot/AI functional workstreams for client engagements. Responsibilities include requirements analysis, CRM solution design, implementation management, integration planning, configuration, deployment, issue resolution, budgeting, risk tracking, user training, adoption support, and stakeholder management. The role also coaches team members, reviews deliverables, and identifies AI-enabled improvements to operational efficiency and client outcomes.

Lead client-facing Microsoft Dynamics 365 ERP and AI/Copilot solution architecture programs. Translate business requirements into functional designs, implementation plans, configurations, testing, training, and deployment activities. Direct complex workstreams, improve processes and controls, resolve risks, communicate recommendations to stakeholders, build client relationships, and coach consulting teams through ambiguity and change.

Leads global, cross-functional Services Engineering programs focused on product supportability, serviceability, telemetry, automation, AI, cost optimization, operational efficiency, and customer experience. Translates business needs into technical requirements, establishes support processes, manages senior stakeholders, and coordinates teams of more than 20 resources across countries. Drives change, improves service delivery, mentors team members, and delivers measurable outcomes across Engineering, Product Management, Operations, Enablement, and business units.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Leads financial statement audits and evaluates governance, risk management, regulatory compliance, and internal controls for digital asset and financial services clients. Directs complex audit engagements, applies advanced auditing and technical accounting expertise, identifies material misstatements, and issues auditor reports. The role also involves client relationship management, coaching and developing diverse teams, communicating findings, and maintaining professional, independence, and ethical standards.

Own local customer engagement strategies for pharmaceutical brands, translating central strategy into omnichannel plans. Lead customer journey design, audience segmentation, channel sequencing, field-team messaging, cross-functional coordination, modular content localization, budget allocation, and ROI optimization. Interpret performance data and use CRM, AI, and decision engines to personalize engagement. Feed market insights and optimization recommendations back to central marketing teams while ensuring compliance with MLR processes and commercial standards.

Leads SAP S/4HANA security transformation across a complex, multinational environment. Designs scalable security architecture, rationalizes SAP roles, implements least-privilege and risk-based access, manages privileged and emergency access, and supports migration, testing, cutover, and go-live activities. Partners with IAM, SAP Basis, cybersecurity, audit, compliance, and business teams to integrate SAP access with IGA, SSO, MFA, and PAM/PIM platforms while strengthening governance, controls, automation, and compliance.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Design and deploy AI systems and machine learning models, perform data wrangling and analysis, and integrate solutions into data infrastructure. Develop scalable AI applications, relational data systems, evaluation tools, automated tests, and monitoring capabilities. Assess AI behavior, robustness, bias, explainability, drift, hallucinations, and guardrails while evaluating technical controls and communicating findings to clients and stakeholders.

Develop and implement AI and machine learning solutions, including algorithms, data models, infrastructure, evaluation tools, automated tests, monitoring, and responsible AI controls. Lead testing for robustness, bias, drift, explainability, hallucinations, and failure modes. Manage client accounts and technical workstreams, review evidence and controls, communicate trade-offs, mentor teams, and maintain delivery and professional standards.

Drive new business and expand existing enterprise accounts across the Mexico City metro area. Build qualified sales pipelines, develop account plans, engage executive decision-makers, deliver cybersecurity value propositions, lead internal virtual teams, manage opportunities, and accurately forecast sales outcomes. The role requires enterprise technology sales experience, strong security knowledge, executive-level networking, quota attainment, and the ability to close large solutions and services opportunities.

Supports the U.S. equity investment team by implementing equity, derivative, and foreign exchange orders; managing cash allocations; monitoring portfolios; maintaining governance and controls; and improving investment workflows through data, automation, and technology. The role collaborates with portfolio managers, traders, strategists, clients, and operations teams while developing scalable solutions using Python, APIs, databases, and data pipelines.

Manage and optimize customer success systems, automations, health scores, playbooks, journeys, dashboards, and KPIs. Troubleshoot complex CS systems, lead process improvements, develop knowledge-base documentation, and guide AI-powered analytics and workflows. Partner cross-functionally with Product, Marketing, Sales, Revenue Operations, and Enablement to improve retention, growth, efficiency, training, and customer success outcomes.

Leads consulting engagements focused on customer sales and service strategies, sales operations, customer engagement, and revenue growth. Analyzes client needs, guides teams through strategy implementation, identifies business transformation opportunities, promotes AI-enabled sales processes, manages stakeholder relationships, and coaches high-performing teams.

Prepare, execute, and analyze DRAM silicon validation tests; configure hardware setups, investigate functionality and margin results, categorize silicon issues, and support root-cause analysis with design teams. Develop validation tools and methodologies using C, C++, Python, and AI to improve coverage, efficiency, and testing schedules.

Leads contract lifecycle management technology projects and client engagements, guiding strategic planning, system configuration, integrations, and AI-enabled contract solutions. Manages teams, coaches staff, develops client recommendations, builds consensus, and drives process optimization and innovation. The role also includes account management, stakeholder communication, governance, and ensuring project quality and client outcomes.

Provides consulting services for contract lifecycle management technology implementations. Analyzes client needs, configures and integrates business applications, develops strategic recommendations, trains clients, and supports software adoption. Guides teams through contract management technology deployments, optimizes processes, applies AI and digital strategies, manages client relationships, and contributes to project delivery and modernization initiatives.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Leads strategic advisory and analytics initiatives for banking and capital markets clients. Designs and configures Fenergo solutions, translates business and regulatory requirements, develops data visualization and analytics solutions, and guides teams through complex projects. Builds stakeholder relationships, validates outcomes, promotes process improvement, and coaches diverse teams. Requires at least seven years of experience and a bachelor's degree.

Implements and configures Oracle HCM Cloud solutions for clients, including Absence Management, Benefits Administration, and Talent Management. Analyzes HR processes and workforce data, develops BI Publisher reports, supports HR transformation and change initiatives, and advises on strategic workforce planning. The role also involves client relationship management, business process improvement, AI and digital tool integration, mentoring junior consultants, and delivering high-quality enterprise technology solutions.

Develop AI-enabled software solutions for internal digital transformation initiatives. Design, code, test, debug, and support scalable applications using modern engineering practices. Apply machine learning tools, automate workflows, analyze data, contribute to APIs, microservices, and cloud-native architecture, and translate business requirements into technical designs. Review junior team members’ work, provide technical guidance, and collaborate with internal stakeholders to deliver reliable enterprise applications.

Lead the evaluation, training, fine-tuning, and production integration of machine learning and large language models. Design evaluation pipelines, prompt engineering frameworks, benchmarking tools, and AI performance monitoring. Collaborate with product, engineering, and security teams to deploy safe, scalable AI features while optimizing Elasticsearch-backed data systems and assessing commercial and open-source models.