20 publicaciones de empleo destacadas en agentic data systems engineer (¡Están contratando!)

Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish)
Google —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Doctorado
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- Capacitación
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- Tiempo completo
- Administración de personal
- Mantenimiento
- Liderazgo
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Radian Generation —Guadalajara, Jal.
- Tiempo completo
Postulación rápida
Senior AI Copilot & Agent Platform Engineer
Lab49 —City, Hgo.
- Tiempo completo
- DevOps
- Inglés
- Servicios financieros
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Tech Holding —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
AI Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior Software Engineer | Remote | AI SaaS Software Role
Process Street —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- Java
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de la vista
Postulación rápida
Staff Platform Engineer
EarnIn —Ciudad de México, CDMX
- Administración de personal
- Informática
- Maestría
Postulación rápida
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Senior Fullstack Engineer
Solera —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Java
- JavaScript
Site Reliability Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
14d
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
Cash Equities Software Engineering
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Administración de personal
- Mantenimiento
- Java
Engagement Manager - Technical
APPLY —Desde casa
- Home Office (Desde casa)
- Administración de personal
- Gestión de venta al por menor
- Seguro dental
Postulación rápida
10d
Senior Software Engineer | Hybrid in Guadalajara
GSB —Guadalajara, Jal.
- $100,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- Java
Postulación rápida
1d
Solution Architect
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Oratoria
- Vacaciones adicionales o permisos con goce de sueldo
11h
Director, Growth Engineering
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- Presencial
- Liderazgo
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
AI / Analytics Engineer
Carrier —Monterrey, N. L.
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
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Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Senior Product Manager, AI
Aplazo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida

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Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish)

Google -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Microsoft Excel
Administración de personal
Doctorado
Informática
Plurilingüe
Inglés
Google Cloud Platform
Maestría
Licenciatura
Desarrollo de software
Seguridad
Python
Debugging

Descripción completa del empleo

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
Experience taking production-grade AI-driven solutions from conception to launch for customers.
Ability to communicate in English and Spanish fluently to support client relationship management in this region.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of "Large Language Models (LLMs)-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet the requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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