Top Artificial Intelligence Jobs in Mexico

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.

Analyze credit portfolio data using SQL, Python or R to develop risk recommendations, dashboards, and performance insights. Partner with Data Science, Product, Engineering, executives, and go-to-market teams to improve profitability and risk KPIs. Support machine learning and AI model implementation, evaluate product pilots and A/B tests, and document analytical findings and recommendations.

Leads requirements engineering and technology solution design for fraud prevention systems. Translates fraud typologies, risk policies, and regulatory mandates into business and technical specifications, user stories, process models, integrations, and traceability documentation. Coordinates with fraud, compliance, risk, engineering, and vendors; defines APIs, data mappings, and event-streaming requirements; and manages UAT, defect triage, backlog refinement, and sprint planning. Focuses on improving fraud detection, reducing false positives, accelerating mitigation, and maintaining audit readiness.

Lead the cross-functional product squad responsible for consumer lending acquisition and activation. Own strategies, roadmaps, growth loops, funnel analytics, experimentation, and conversion from first to second loan. Partner with Marketing, Risk, Credit, Compliance, Operations, and Platform teams while balancing growth, credit quality, and unit economics. Supervise AI-assisted product discovery and analysis with strong quality controls.

Leads the cross-functional product squad responsible for consumer lending acquisition and activation. Owns growth strategy, loan funnel measurement, experimentation, first-loan conversion, and progression to second loans. Partners with engineering, design, data, marketing, risk, credit, compliance, operations, and platform teams to balance growth with credit quality and unit economics. Establishes analytics frameworks, removes funnel friction, supervises AI-assisted workflows, and drives rapid product discovery and delivery.

Leads acquisition and activation for Felix’s consumer lending products. Owns growth strategy, OKRs, roadmaps, acquisition and activation loops, funnel measurement, experimentation, and first-to-second-loan conversion. Leads a cross-functional engineering, design, and data pod while partnering with Marketing, Risk, Credit, Compliance, Operations, and Platform teams. The role balances origination growth with credit quality and unit economics, using user research, analytics, and AI-assisted workflows with strong quality controls.

Lead the cross-functional product squad responsible for consumer lending acquisition and activation. Own growth strategy, loan funnel measurement, experimentation, first-loan conversion, and second-loan progression. Partner with engineering, design, data, marketing, risk, credit, compliance, operations, and platform teams to improve growth while maintaining credit quality and unit economics. Establish scalable growth loops, remove funnel friction, supervise AI-assisted workflows, and guide agile product discovery and delivery.

Serves as a strategic HR advisor to senior leaders, guiding organizational design, workforce planning, leadership development, talent decisions, employee relations, and organizational change. Analyzes people and business data to provide actionable insights, coaches leaders through complex situations, and helps scale HRBP operations. The role also designs AI-enabled workflows using Claude and other AI tools, mentors HR peers, and strengthens people programs across a distributed global organization.

Define and scale CoLab’s supplier ecosystem go-to-market strategy across OEMs, Tier 1 suppliers, and Tier 2 suppliers. Package and price the supplier motion, map supply networks, develop value cases, enable prospecting and customer success teams, and support strategic deals. Lead executive workshops, coach account teams, identify supplier-sourced opportunities, track activation and pipeline metrics, and translate market signals into product feedback. The role is remote-friendly in Eastern or Central time zones and includes frequent customer travel.

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.

Own global fraud detection strategy across markets and fraud vectors. Lead fraud infrastructure, rules, machine learning models, AI automation, risk signals, case management, model governance, and performance monitoring. Identify emerging threats and improve detection through data analysis, automation, and cross-functional collaboration. Establish KPIs, ensure explainability and human oversight, and scale 24/7 fraud coverage across regional operations.

Supports Marsh’s Benefits Consulting Team by analyzing medical expense programs, evaluating plan competitiveness, identifying cost-containment opportunities, aligning recommendations with client strategies, supporting client discussions, and handling complex cases. The role includes structured training, mentoring, client relationship development, and career progression. Candidates should have a recent degree in actuarial science, economics, administration, or a related field, strong communication and analytical skills, English fluency, and Microsoft Office proficiency.

Designs and delivers AI training programs, learning content, communications, literacy initiatives, and enablement events for global teams. Tracks adoption metrics, partners with AI Ambassadors, facilitates office hours, gathers user feedback, and supports rollout execution. The role requires strong facilitation and presentation skills, the ability to simplify technical concepts for business users, and experience with training, enablement, change management, or organizational development.

Source and develop data partnerships for AI training use cases. Translate customer needs into sourcing strategies, identify and qualify data providers, evaluate provenance and rights, coordinate diligence and samples, structure commercial agreements, and move partners through contracting, activation, and handoff. The role also builds scalable sourcing workflows, maintains partner pipelines, supports customer deals, and provides market intelligence across commercial, technical, legal, product, and operations teams.

Own the vision, strategy, and execution of Kueski’s integrations roadmap across partner and vendor APIs, data pipelines, and platform connections. Lead discovery, define API contracts, manage integration lifecycles, measure performance using data tools, and align Engineering, Data, Legal, Risk, Operations, and external partners. The role requires technical fluency, hands-on analysis, experimentation, AI proficiency, strong communication, and mentorship of junior product managers.

Support net-new customer acquisition through technical discovery, solution demonstrations, trials, proofs of concept, RFP responses, and competitive positioning. Apply Compliance, FinTech, and RegTech expertise to communications compliance, surveillance, archiving, eDiscovery, investigations, and information governance use cases. Partner with sales, solutions architecture, product, engineering, and customers to translate regulatory challenges into business-valued solutions and accelerate technical wins.

Own technical strategy and technical wins for complex global enterprise SaaS opportunities. Lead discovery, solution architecture, workshops, demonstrations, POCs, RFP responses, competitive evaluations, and executive technical discussions. Partner with sales, product, engineering, specialists, and channel partners to develop multi-product architectures, mitigate risks, and support strategic customer acquisition. Create reusable reference architectures and playbooks while mentoring technical resources and ensuring post-sale handoffs.

Leads AI-enabled risk modeling services, setting strategy, managing client relationships, overseeing machine learning and predictive analytics solutions, and guiding end-to-end delivery. The role includes model governance, feature engineering, performance evaluation, innovation, cross-functional collaboration, team coaching, thought leadership, and business development across risk modeling engagements.

Manage customer and organizational master data in Oracle R12 and related systems. Review data requests, perform validation and quality checks, resolve duplicates and inconsistencies, and support data cleansing and standardization. Collaborate with Sales, Customer Service, Supply Chain, Finance, and IT to verify requirements. Analyze data, explain trends and variances, and identify modeling and process improvements.

Lead Protege’s DataLab research strategy and team, focusing on AI training data quality, model evaluation, synthetic data, privacy-preserving methodologies, and benchmarking systems. Partner with Product, Engineering, GTM, customers, and leadership to translate ambiguous technical questions into experiments, frameworks, and actionable recommendations. Establish rigorous, reproducible research processes, publish findings, influence product and customer strategy, recruit researchers, and represent the company across the AI ecosystem.

Defines enterprise architecture roadmaps connecting business priorities to measurable value and AI-powered transformation. Identifies, designs, and pilots AI use cases, embeds intelligent agents and automation into business processes, and advises CIOs and senior executives on cloud adoption, governance, SAP Business AI, integration, and extensibility. The role helps customers modernize technology landscapes and build autonomous enterprise capabilities using SAP cloud solutions and enterprise architecture expertise.

Designs, develops, and integrates secure, scalable backend applications using Java, Spring, APIs, microservices, and cloud-native technologies. The role contributes to CI/CD, testing, code reviews, security reinforcement, and software quality improvements. It collaborates with cybersecurity, architecture, cloud, and functional teams on banking processes including risk management, AML, GDPR compliance, and third-party integrations. The position also advances reusable components, automation, best practices, and AI-supported software development.

Develop Airbus’s presence in new markets by planning business and product-line strategies, generating demand, positioning offerings, identifying opportunities, and converting them into projects through closure. The role focuses on consultative sales of mission-critical mobile communications, SaaS, cloud, IoT, and related technology solutions to large public and private organizations across industries including defense, energy, utilities, mining, ports, airports, and private security.

Lead NVIDIA’s government relations strategy across Latin America by analyzing policy and regulatory developments, advising executives, engaging senior policymakers, educating leaders on AI and technology, and coordinating with internal teams and ecosystem partners. The role requires deep regional government networks, expertise in technology policy and geopolitical landscapes, strong diplomatic judgment, bilingual English and Spanish or Portuguese communication, and substantial leadership experience.