Top Artificial Intelligence Jobs in Mexico City

Build and ship agent orchestration workflows, integrations, and shared infrastructure for AI-driven growth across paid media, lifecycle, organic content, CRO, incentives, and referrals. Implement monitoring, audit logging, creative generation pipelines, and reliable integrations so domain experts can tune and operate workflows independently.

The AI Enablement Lead will design and conduct training programs to improve AI fluency within Juniper Square, focusing on tools like Claude and Cowork. Responsibilities include curriculum development, leading sessions, coaching, and measuring adoption outcomes.

Embed with business teams to rapidly prototype, build, and ship AI-powered workflows: prompt layers, automations, lightweight agents, RAG, and API integrations. Translate workflow assessments into deployable solutions, run UAT, document handoffs, and feed learnings back to the AI Program Office.

The Senior AI Engineer will design and develop production-grade AI systems, focusing on LLM integrations, ML model serving, and backend reliability for Jeeves's financial platform.

Coordinate day-to-day social publishing for major entertainment brands across YouTube and other social networks. Responsibilities include scheduling, quality assurance, community management, stakeholder coordination, approvals, content research, reporting, escalation, and process improvement. The role emphasizes careful review of AI-assisted work, publishing accuracy, platform updates, and reliable execution across multiple accounts and deadlines.

Serve as a client-facing support engineer for a fintech SaaS platform, triaging and resolving issues, using AI tools to enhance responses, logging and escalating tickets in Jira, executing basic corrective actions, and driving change requests from recurring feedback.

Perform part-time remote data tasks to improve Spanish (Mexico) AI outputs: collect, evaluate, annotate, and tag content across audio, video, images, and other data; perform pairwise comparisons and counting tasks. Flexible schedule, immediate start.

The role involves developing full-stack applications for mental healthcare, utilizing TypeScript, Node.js, React, and AI tools. Candidates will own features end-to-end and collaborate with teams to enhance user experience and system performance.

Map and redesign creative workflows, build and integrate AI-powered content pipelines (LLMs, agents, automation) into production ecosystems, establish governance and adoption, deliver proofs-of-concept and production solutions, and enable client teams for sustained creative transformation.

Embed with client teams to diagnose operational friction, redesign operating models, and rapidly build AI-powered proofs of concept. Map workflows, establish governance and measurement frameworks, drive adoption through prototypes and change management, and scope engagements to capture measurable business value.

Leads enterprise sales strategy and revenue growth for AI-powered eDiscovery, legal technology, compliance, analytics, and data intelligence solutions. Builds pipelines, manages complex consultative sales cycles, develops executive client relationships, expands strategic accounts, and positions responsible AI adoption. Partners with product, operations, legal, security, marketing, and executive teams on solution development, pricing, contracts, implementation, and market expansion across corporations, law firms, government, and regulated industries.

Design, deploy, and maintain enterprise AI agents using BotDojo and approved AI tools. Gather requirements, engineer prompts, configure workflows, integrate agents with systems and databases, provide technical support and training, monitor performance, troubleshoot issues, maintain documentation, and ensure security, privacy, quality, and version-control standards.

Design, build, deploy, and support scalable Go-based APIs and production agentic AI solutions. Collaborate with product, data science, and infrastructure teams to translate requirements, implement microservices on cloud (Azure/GCP), ensure reliability (SLOs, CI/CD), produce API documentation and partner enablement assets, and optimize cost, security, and operational readiness.

Early-career engineer role building AI-driven features, prototypes, and production-quality systems using modern AI coding agents. Work closely with founders and senior engineers to iterate fast, direct and evaluate AI agents, and contribute to AI infrastructure and agentic development workflows.

Lead development of AI-native production systems: convert AI-assisted prototypes into scalable, secure software; own architecture, reliability, and technical direction; direct and control AI coding agents; define engineering standards and workflows; collaborate with founders on product and strategy; debug complex issues and elevate engineering quality.

Create high-volume, high-quality marketing content using generative AI and AI agents (video, image, social). Develop timely campaign ideas, track AI and cultural trends, experiment with formats, and work closely with founders and the marketing team to shape brand voice and growth.

Architect and build production AI-powered HR systems using agentic workflows, multi-agent systems, APIs, and workflow automation. Integrate Workday and other HR tools, implement governance, audit logging, privacy controls, and human approval gates, and ensure reliable payroll-adjacent workflows. Document solutions, train People team users, drive adoption, and measure automation impact. The role requires strong software engineering, AI application development, HR technology, Workday, data privacy, and workflow automation experience.

Develop AI-enabled applications using .NET, C#, Azure, React, and CI/CD practices. The role requires at least six years of experience, practical AI knowledge, advanced English proficiency, and is fully remote.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Design and lead scalable AI architectures for enterprise customer experience solutions. Translate AI capabilities into measurable business outcomes, build reusable frameworks and prototypes, align product and engineering, drive adoption, and establish lifecycle best practices including deployment, monitoring, governance, and optimization.

Design and implement AI-powered business workflows using Microsoft Copilot Studio and Power Platform (Power Apps, Power Automate, AI Builder). Build automations, conversational experiences, and integrations with SharePoint and REST APIs. Collaborate with solution architects and technical leads to support implementation, integration, testing, and deployment across enterprise processes.

Lead architect and hands-on builder for AI solutions: evaluate feasibility and data readiness, translate business problems into technical and algorithmic requirements, design high-level architectures and prototypes, drive PoC to production handover, set MLOps/API standards, mentor team, and align North American implementations with European enterprise governance.

Evaluate, annotate, and validate AI-generated content (text, audio, images, video) per project guidelines. Identify errors and quality issues, select best outputs, provide written feedback, and complete tasks independently on schedule. Attend training and office hours and follow data privacy and confidentiality rules.