Top Artificial Intelligence Jobs in Mexico

Provides commercial legal counsel focused on drafting, reviewing, and negotiating real estate services and vendor contracts. Advises business teams on legal risks and practical solutions, supports client and supplier negotiations, handles general corporate matters such as assemblies, powers of attorney, and corporate documentation, and uses legal technology and artificial intelligence to improve efficiency.

Operate and improve AI security tooling, including red teaming, guardrails, model evaluation, and AI security posture management. Assess AI threats and vulnerabilities, design and operationalize security controls, support secure AI lifecycle deployment, and integrate monitoring with incident response. Develop security documentation, metrics, audit evidence, and remediation plans. Advise engineering and data teams, provide training, evaluate emerging defenses, and continuously improve AI security operations.

Leads the Energy Industries operations function across the Americas, coordinating project execution, engineering, field service, supply chain, quality, planning, and continuous improvement. Establishes common operating standards, governance, performance routines, and controls across countries. Drives digital transformation through automation, analytics, technology deployment, and responsible AI use cases. Develops pilots, adoption plans, training, and scalable implementation models while improving productivity, quality, forecasting, cash, risk, and customer outcomes.

Supports supplier sustainability programs and ESG initiatives by managing projects, monitoring global regulations, tracking emissions and sustainability KPIs, analyzing supplier due-diligence data, and preparing reports for stakeholders. Coordinates cross-functional improvement efforts, supports audits and regulatory reporting, researches industry trends, and recommends sustainability solutions. Requires sustainability regulations knowledge, project management, advanced Excel, English fluency, communication, collaboration, and basic programming, IT, and AI knowledge.

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Lead enterprise-scale data engineering initiatives using Python, Spark, Kafka, and Azure services. Design reusable data-processing frameworks, data models, cloud-native platforms, AI-powered solutions, and automation systems. Mentor engineers, lead architecture and technical decisions, troubleshoot complex systems, influence business and regulatory requirements, and align data strategy with enterprise objectives.

Conduct approximately 50 outbound calls daily to US tax and accounting decision-makers, generate and qualify at least 10 opportunities monthly, manage pipeline activity in Salesforce, follow established sales methodologies, collaborate with Account Executives on lead handoffs, and participate in coaching. The role requires selling SaaS solutions powered by data and AI to CPAs and tax professionals.

Drive new business acquisition across France by targeting large-enterprise C-level stakeholders, managing the full sales cycle from outreach through negotiation and client handoff. Build and maintain a high-quality pipeline, meet sales quotas, manage complex high-value sales, and own forecasting and account planning. The role requires strong B2B sales experience, executive engagement, business development expertise, and willingness to travel as needed.

Leads product growth and digital insights for a business application, owning local product strategy, roadmap prioritization, discovery, requirements, and stakeholder alignment. Manages an AI and machine learning personalization squad developing recommendation, cross-sell, and upsell models. Owns data management, analytics, experimentation, impact measurement, and business insights to support data-driven decisions. The role bridges business, technology, and data teams across regional environments.

Owns and governs Honeywell’s global HR case management framework in ServiceNow. Responsibilities include optimizing workflows, routing, service catalogs, SLAs, KPIs, audits, quality standards, compliance, and employee experience. Leads cross-functional HR Services transformation projects, partners with Digital HR and technical teams on automation and AI-enabled solutions, and presents performance insights to senior stakeholders. The role requires strong project management, analytical, communication, governance, and stakeholder-influence skills in a global matrixed organization.

Owns and governs Honeywell’s global HR case management framework in ServiceNow. Responsibilities include optimizing workflows, routing, service catalogs, SLAs, KPIs, quality standards, audits, compliance, and employee experience. The role leads HR Services transformation projects, partners with digital and technical teams on automation and AI-enabled improvements, analyzes operational performance, and presents recommendations and risks to senior stakeholders. It requires influencing global, cross-functional teams without direct authority.

Leads the Advanced Manufacturing Engineering team and molding technology strategy for composite blade manufacturing. Directs process development, testing, validation, industrialization, automation, data analysis, technology roadmaps, supplier performance, and capital planning. Oversees molding processes including mold preparation, gel coat, fiber layup, resin infusion, curing, and bonding. Develops engineers, manages project portfolios, ensures technical documentation and change control, and drives safety, quality, cost, productivity, and operational excellence improvements.

Leads enterprise cybersecurity and core technology audit strategy, annual planning, audit execution, reporting, continuous monitoring, and regulatory readiness. Provides independent assurance and credible challenge across technology governance, cyber operations, cloud, resilience, third-party risk, identity, data protection, and emerging technology. Partners with executives, regulators, committees, and assurance functions while building and developing a high-performing audit team. Oversees risk-based coverage, quality, issue remediation, and strategic audit transformation through data-driven insights and automation.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Develop product positioning, messaging, content, and go-to-market assets for an AI training data platform. Lead end-to-end product, vertical, DataLab, and commercial launches; translate complex AI and data concepts for technical buyers; create thought leadership, case studies, decks, webinars, videos, social content, and landing pages; and partner with Product, Sales, DataLab, Community, and business leaders to strengthen market narrative and support commercial growth.

Own the full enterprise and mid-market sales cycle in Mexico, from prospecting and qualification through closing. Generate pipeline through outbound outreach, demand generation, social media, trade shows, and channel partners. Lead technical and business discovery, develop security-related business cases, manage proof-of-concepts with Sales Engineering, and build co-selling relationships with partners. Success is measured by ARR, new logo acquisition, pipeline generation, and win rate.

Lead candidate experiences for the United States talent market from Mexico City. Responsibilities include candidate screening, shortlisting, interview coordination, communications, offer extensions, employer-brand representation, Workday data maintenance, stakeholder partnership, and recruitment process improvement. The role requires strong recruiting experience, U.S. market expertise, advanced English, applicant tracking system knowledge, and interest in using artificial intelligence and technology to improve hiring outcomes.

Leads strategic sourcing and partner management for Cisco’s EMS, OEM, and ODM manufacturing partners. Develops end-to-end sourcing strategies, negotiates cost and contract terms, manages partner performance, supports new business awards, and drives supply chain improvements. Collaborates with product, engineering, quality, manufacturing, and supply management teams to resolve complex challenges, optimize costs, support dual sourcing, manage specification changes, and align sourcing decisions with product and technology roadmaps.

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Lead design and implementation of Microsoft Dynamics 365 ERP solutions, manage large-scale projects, engage senior clients, build and coach high-performing teams, resolve complex challenges, and drive operational excellence and strategic growth for the firm.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead design, build, and operation of scalable, secure AI-enabled platforms; mentor engineers; ensure reliability, security, and delivery of conversational AI and cloud-native solutions; collaborate cross-functionally to translate use cases into platform capabilities.