Top Artificial Intelligence Jobs in Mexico

Develops DRAM product forecasts, demand models, cost strategies, capacity plans, and engineering workflows. Collaborates with global engineering, manufacturing, supply chain, and business teams to optimize inventory, cycle time, expenditures, and execution. Uses AI-assisted tools, automation, and advanced analytics for root-cause analysis, process improvement, and data-driven decisions across product development, NPI, qualification, and sustaining activities.

Partners with sales teams to support mid-market customers throughout the pre-sales cycle. Conducts discovery, identifies business problems, maps needs to Atlassian products, leads customized value-based demonstrations, guides technical decisions, expands cross-product opportunities, and builds executive relationships. Tracks customer feedback and competitive intelligence, collaborates with product management, and continuously develops product, solution, platform, and sales expertise.

Reviews live dashcam videos to identify safety risks and annotates data according to established guidelines. Ensures accurate, timely delivery against SLAs while contributing to improved annotation procedures and team best practices. Collaborates with Research and Development teams to create high-quality training datasets for machine learning and artificial intelligence models, and supports Product experiments focused on risk identification and mitigation. Requires rotational day, evening, overnight, and weekend shifts in a 24/7 operation.

Leads worldwide sales strategy and planning for HPE’s Hybrid Cloud Solutions business. Develops go-to-market plans, market segmentation, coverage and quota strategies, KPI frameworks, forecasting processes, and executive insights. Partners with sales, finance, marketing, channel, services, and product teams to improve growth, productivity, pipeline performance, and resource allocation. Uses AI and Microsoft 365 tools to enhance planning and decision-making, guides recovery plans, influences senior stakeholders, and mentors sales strategy professionals.

Manage and improve hardware service delivery operations in Mexico City, including warehouse, inventory, reverse logistics, repair, transportation, fulfillment, supplier governance, and customer escalations. Establish operational KPIs, analyze trends, manage service-level agreements, drive continuous improvement, ensure compliance, and coordinate training and competency development. The role requires close collaboration with customers, logistics providers, technical teams, finance, sourcing, and internal stakeholders, with responsibility for reliable service execution and accountability across operational processes.

Leads complex cybersecurity strategic advisory engagements for executive clients, assessing and improving security and incident response programs. Develops cyber exercises, policies, risk frameworks, reports, presentations, and recommendations; provides cybersecurity thought leadership; manages internal teams and programs; supports staffing, scheduling, sales, and business development. Requires extensive cybersecurity leadership or consulting experience, strong communication and project management skills, AI technology experience, and willingness to travel up to 30%.

Lead Guidewire technology consulting and implementation workstreams for insurance clients across policy, billing, and claims. Manage project scope, timelines, budgets, risks, and deliverables while directing configuration, integration, testing, and deployment. Review technical designs and code, translate business needs into Guidewire recommendations, analyze transformation opportunities, and coach developers. Support cloud, data, analytics, and AI-enabled delivery modernization while maintaining technical standards and client relationships.

Design, customize, test, and troubleshoot Guidewire applications supporting insurance policy, claims, and billing workflows. Develop AI-enabled solutions, integrations, and automation; translate client requirements into technical solutions; interpret system data; and contribute to digital transformation engagements. The role also involves managing workstreams, reviewing junior team members’ work, guiding technical problem solving, and building client relationships while supporting Guidewire platform modernization.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Leads multidisciplinary teams delivering AI-enabled, cloud-native applications on AWS. Oversees architecture, development, testing, deployment, modernization, platform engineering, security, reliability, and client advisory activities. Translates business objectives into technical roadmaps, guides complex engineering work, coordinates cross-functional architecture reviews, communicates delivery risks and options, and coaches teams across multiple workstreams.

Deliver strategic technical guidance for Atlassian customers, create solution content and prescriptive guidance, align product capabilities with business outcomes, showcase customer successes, expand technology use cases, and advocate for customer needs across Atlassian.

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.

Provides HR business partnership to leaders and client groups in a regional, matrixed environment. Advises on complex employee matters, coordinates escalation across people teams, implements HR initiatives, applies standardized processes, promotes digital and self-service tools, and shares insights to improve employee experience and service quality.

Leads pre-silicon verification for HBM and emerging memory architectures. Responsibilities include defining verification strategies, simulating and debugging full-chip builds, creating test cases and stimuli, developing testbenches and verification environments, running regressions, analyzing functional coverage, and collaborating with global engineering teams. The role also supports advanced verification methodologies, DFT and timing analysis, and AI-enabled process automation.

Leads financial statement audits for digital assets and financial services clients, evaluating regulatory compliance, governance, risk management, and internal controls. Applies advanced auditing and technical accounting expertise to identify material misstatements and issue audit reports. Directs complex engagements, coaches diverse teams, manages client relationships, communicates findings, and reinforces professional, independence, and ethical standards. The role also involves data analysis and exploring AI and machine learning platforms to improve processes.

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.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Provides contract management support across the full lifecycle, including drafting, reviewing, negotiating, interpreting, and resolving disputes. Identifies contractual risks, advises internal stakeholders, ensures compliance with policies and laws, coordinates with Legal and Procurement, and improves contract formation processes. Supports Honeywell’s Integrated Supply Chain and procurement contracting initiatives while managing multiple stakeholders and maintaining strong customer relationships.

Provides pre-sales technical support for Cisco public sector accounts, partnering with account executives and customers to demonstrate, design, configure, and explain technology solutions. Responsibilities include technical presentations, government bids and RFPs, sales proposals, competitive analysis, troubleshooting, and consultative support for systems engineering teams. The role requires broad networking, security, data center, collaboration, virtualization, and software-defined technology experience, with up to 20% travel.