Top Artificial Intelligence Jobs in Mexico

The role involves providing empathetic support to customers using ChampionAI, translating technical issues for users, and collaborating with the engineering team to enhance the product.

As a Staff Software Engineer, you'll architect AI systems using .NET and Azure, design workflows, implement observability, and mentor teammates.

Design and implement .NET services and APIs integrating Azure OpenAI/AI Services; build RAG pipelines, agentic workflows, and Semantic Kernel plugins; implement observability; partner with product/security/data teams; mentor engineers and lead design reviews.

The Lead AI Forward Engineer designs AI-powered solutions within the AI Reimagine program, guiding architecture and implementation across technology teams to optimize operational efficiency and automation.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

Lead Product Engineer will develop AI-driven accounting software, focusing on backend services using Python, while also contributing to the frontend with React and Next.js. They will mentor team members and drive project success from ideation to release.

As a Senior Software Engineer - AI, you will design and optimize backend systems for AI applications, focusing on architecture, scalability, and reliability while collaborating with cross-functional teams.

As a Lead Software Engineer for AI, you will develop AI-powered systems, focusing on backend services, scalable production systems, and collaboration with cross-functional teams to deliver intelligent solutions.

The role involves designing and optimizing model-zoo infrastructure for AI accelerators, developing demo applications, and enhancing existing CNN and LLM models. It requires collaboration on workflows and performance benchmarking for computer vision and generative AI applications.

As an AI Software Engineer, you will develop and optimize model-zoo infrastructure for computer vision and AI workloads, working primarily with Python and C++. Responsibilities include scaling models, automating testing, and building demos, while collaborating on LLM, VLM, and CNN models.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

The FBS IT Automation Engineer will design and implement automation solutions, enhance system uptime, manage incidents, and foster a collaborative team environment.

As a Senior Backend Engineer, you will develop AI tooling to enhance engineering workflows, automate system migrations, and maintain CI/CD infrastructure.

As a Senior QA Automation Engineer at DaCodes, you will design and maintain test automation frameworks, integrate AI tools into QA workflows, and collaborate on QA strategies. You'll track quality metrics and ensure product reliability in fast-paced environments.

As a Staff AI Data Engineer, you'll lead AI-powered improvements in workflows, design data foundations, and ship evidence-first AI pipelines while ensuring data governance and privacy.

Lead technical client engagements in machine learning and AI, shape strategy, influence architecture, and ensure high-quality outcomes for clients by leveraging AWS services.

As a Customer Support Expert, you will respond to customer inquiries via social media and email, providing excellent service on behalf of various brands.

As a 3D Artist at AssetHub, you will create high-quality 3D models using AI tools within an offshore production workflow, collaborating with a global team.

Lead the mobile software development team to integrate AI tools into mobile applications, modernize architecture, implement testing strategies, and mentor developers.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

As an Onboarding Executive, you will facilitate the onboarding process for new clients, ensuring smooth implementation and effective communication while building AI assistants tailored to client needs.

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The IA Operations Executive aids in onboarding new client accounts, builds AI assistants, aligns client requirements, and ensures successful implementation processes.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.