Top Artificial Intelligence Jobs in Mexico

As an AI Services Consultant at Zendesk, you'll provide technical solutions for AI implementation, ensuring customer satisfaction and successful project delivery through effective change management and agile project management practices.

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.

Evaluate and annotate various types of content for quality and consistency, following structured guidelines during a data annotation project.

The AI/ML Engineer will assist in developing machine learning models, data preprocessing, testing, and integrating ML solutions while learning from experienced professionals.

Work on Applied AI platforms and features: design, build, and ship AI-powered full-stack systems (backend, APIs, data, frontend). Integrate embeddings, agentic systems, and automation into products and workflows, participate in production support, and collaborate with cross-functional teams under senior guidance.

Interns will work on developing AI/ML solutions for investment research, conduct quantitative analysis, and optimize financial models using large datasets.

The Machine Learning Engineer will develop and deploy ML solutions, focusing on computer vision and backend systems, collaborate with teams, and ensure reliable production-grade systems.

Own and execute customers' AI roadmaps, aligning product capabilities to business strategies, ensuring successful adoption, driving revenue growth, and achieving high customer satisfaction through effective stakeholder engagement.

The Tech & AI Content Course Creator will design AI curricula, create hands-on projects, prototype workflows, and adapt tech trends for the Hong Kong and Singapore markets, while collaborating globally and iterating based on feedback.

As Director of AI/ML, lead AI teams, manage AI projects, ensure scalable solutions, and coordinate across multiple departments to deliver impactful AI solutions.

The AI Product Engineer will design and implement Agentic AI platforms for Financial Services, engaging directly with clients to define use cases and leading the full SDLC for deployment.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

As a Senior AI/ML Engineer, you will design and implement AI solutions, collaborate with cross-functional teams, and ensure robust deployment in healthcare contexts.

Design and build AI-powered features using C# and .NET Core for backend and Angular for frontend, ensuring scalable solutions across products.

The Ecosystem Growth Manager will drive growth in the AIVM ecosystem by onboarding resource providers, attracting AI developers, and forming strategic partnerships, focusing on decentralized cloud infrastructure.

Lead a team in building the agentic testing framework for Agentforce Supply Chain, focusing on technical vision, operational excellence, and team management.

The AI Engineer will lead AI projects, improve AI application reliability, collaborate cross-functionally, and mentor junior engineers while driving innovation in a community-oriented environment.

As a Senior AI Services Consultant, you will provide technical solutions and guidance for customers implementing AI technologies, ensuring successful project delivery and high customer satisfaction. You'll oversee AI project management and help optimize customer outcomes through effective adoption of Zendesk's AI offerings.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Design, build, and maintain API-based integrations that connect LLM/AI services with SaaS, databases, and enterprise systems. Implement MCP or similar frameworks, develop data exchange pipelines, ensure reliability/security/performance, troubleshoot cross-system issues, and collaborate with platform and product teams to deploy production-ready AI integrations.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

Customize, extend, and deploy OpenWebUI for enterprise use. Build backend services (Python/FastAPI or Node.js), integrate LLMs and vector search, implement embeddings and APIs, optimize performance, and collaborate with AI, engineering, and product teams.

Lead AI initiatives, build and deploy production models, partner with teams to ship AI features, and scale AI infrastructure.

The AI Architect will design scalable AI architectures, implement MLOps standards, mentor developers, and ensure cross-functional alignment for AI initiatives at Ford.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.