Top Artificial Intelligence Jobs in Mexico

Owns a strategic financial services account, executive relationships, account strategy, multi-year growth plans, complex enterprise deals, forecasting, and revenue results. Coordinates technical, specialist, services, customer success, and partner teams to drive Microsoft Cloud and AI adoption. Requires strong financial services or technology experience, executive engagement, complex deal-closing expertise, bilingual Spanish and English fluency, and knowledge of cloud, data, AI, security, and digital transformation.

Define enterprise technology roadmaps, architectures, standards, frameworks, and reference implementations focused on AI, APIs, data, cloud, and microservices. Evaluate build-versus-buy decisions, guide application and systems design, ensure non-functional requirements, and collaborate with business and technology partners. Mentor architects and engineers, facilitate delivery through proofs of concept and starter code, influence strategic decisions, and promote scalable, secure, reusable solutions.

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.

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 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.

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 global teams developing production AI, GenAI, RAG, agentic workflow, and MLOps solutions for health systems and health plans. Translates clinical, financial, and operational challenges into HIPAA-compliant use cases involving clinical decision support, population health, revenue cycle, research, and optimization. Oversees healthcare data science engagements, model governance, executive stakeholder communications, client delivery, and team development.

Leads worldwide AI channel programs through business planning, market analysis, performance tracking, partner engagement, enablement, communications, and cross-functional execution. Develops financial and statistical models, dashboards, presentations, MDF requests, newsletters, community calls, and joint go-to-market initiatives. Acts as a subject matter expert, identifies process improvements, gathers partner feedback, and provides recommendations to business leaders and regional 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.

Manages AI-related operational risk and in-business controls across the Energy division. Responsibilities include assessing AI risks, developing SOPs, monitoring controls, managing incidents, coordinating with IT, Legal, Compliance, and Risk teams, engaging senior stakeholders, and improving governance in response to regulatory and technology changes.

Owns CSL Plasma’s target-state business architecture, capability models, value streams, architecture decisions, integration standards, and technology roadmaps. Translates business strategy and regulatory requirements into architecture blueprints across digital products, while governing AI, automation, data, and integration patterns. Partners with product, engineering, enterprise architecture, security, privacy, and compliance teams to drive committed designs, architectural consistency, and migration sequencing across a complex regulated environment.

Leads engineering standards, architecture governance, platform strategy, technical quality, security and compliance engineering, and production AI governance across CSL Plasma’s digital products. Manages cross-domain technical teams, sets cloud and integration direction, owns shared engineering platforms and data architecture, and ensures reliable, scalable, regulated software delivery. The role also drives AI-assisted development, production AI operations, engineering metrics, talent development, and alignment with enterprise architecture and cybersecurity.

Leads the technical side of Service Cloud sales cycles by gathering customer requirements, developing solution strategies, configuring and demonstrating customized Salesforce solutions, addressing technical objections, responding to RFPs, and communicating business value to decision-makers. Collaborates with sales, product, and international teams while evangelizing Service Cloud, supporting growth programs, maintaining certifications, and achieving assigned objectives.

Leads enterprise clinical informatics policy, workflow standardization, quality and safety alignment, EHR governance, and assessment of AI-enabled Epic technologies. Translates clinical, operational, regulatory, and patient-safety requirements into actionable policies; coordinates cross-functional stakeholders; evaluates technology value, risk, privacy, security, adoption, and outcomes; supports change management, audit readiness, executive reporting, and continuous improvement.

Advise on information security and cyber risk throughout mergers and acquisitions, including due diligence, pre-close assessments, Day 1 readiness, integration, divestitures, and remediation. Translate technical findings into business risks and actionable recommendations, coordinate security specialists, assess third-party risks, communicate with executives, and improve transaction security methodologies.

Lead three live virtual workshops for teachers on practical AI applications, including teaching-material creation, lesson planning, assessment development, and administrative tasks. Adapt prepared content to classroom needs, provide relevant examples, facilitate and grade a final challenge, give participant feedback, collaborate with Customer Success and Program teams, and stay current with education-focused AI tools and trends.

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.

Build and deploy production full-stack AI applications using Python, JavaScript or TypeScript, backend APIs, databases, document processing, retrieval-augmented generation, and language-model workflows. Develop secure, testable, observable systems with CI/CD, AI evaluations, semantic and vector search, and user-facing review experiences. Collaborate with domain and engineering teams to automate operational workflows and create reusable engineering patterns. Requires four or more years of software engineering experience, strong Python and frontend skills, LLM development experience, and professional English and Spanish communication.

Leads internal audit and SOX engagements, manages client relationships, develops audit methodologies, evaluates financial statements and internal controls, conducts risk assessments, and oversees audit reporting. The role includes project ownership, budgeting, stakeholder management, team leadership, mentoring, process improvement, and use of AI and risk technology to enhance audit effectiveness and address compliance and governance risks.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Leads IT audit engagements assessing digital environments, processes, controls, cybersecurity, data integrity, and AI systems. Manages client relationships, audit teams, project delivery, compliance challenges, data quality validation, governance improvements, and risk management. The role also involves mentoring staff, applying IT governance frameworks, promoting innovative audit technologies, and ensuring assurance standards are met.

Provides client-focused tax consulting services, including global tax strategy, compliance, consolidated tax returns, income tax provisions, corporate planning, transaction support, post-deal integration, tax modeling, and purchase and sale agreement analysis. The associate researches tax matters, supports senior staff, collaborates across teams, and develops technical, client service, and consulting skills while pursuing or completing a Juris Doctor degree and preparing for the Bar exam.

Leads UAE Wealth’s digital platform strategy and end-to-end customer experience agenda. Oversees platform roadmaps, client journeys, complaints and root-cause management, third-party governance, regulatory readiness, operational resilience, and AI-enabled transformation. Builds a multidisciplinary organization spanning digital, product, governance, data, and AI while driving adoption, NPS improvement, complaint reduction, platform reliability, risk management, and measurable business outcomes.

Builds and maintains scalable batch and streaming data pipelines across on-premises and cloud environments. Designs data models, data flows, APIs, integrations, and access methods for reporting, dashboards, operational use, and data science. Translates business requirements into technical solutions, manages code integration, applies data governance, cleanses data, and supports complex project planning and delivery. Works independently across multiple dependencies and provides coaching to junior associates.