20 publicaciones de empleo destacadas de data engineer ai integrations, mcp & python en ciudad de méxico, dif (¡Están contratando!)

Forward Deployed Engineering Manager, GenAI, Cloud Consulting, LATAM (English, Portuguese/Spanish)
Google —Ciudad de México, CDMX
- Doctorado
- Informática
- Inglés
Staff Software Engineer, Product
LawnStarter —Ciudad de México, CDMX
- Tiempo completo
- Bar
Postulación rápida
2d
Software Engineer, AI Agent Platform
QAD —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en manufactura
- Liderazgo
- Python
Senior GCP Engineer: AI Platforms & Development
Concentrix —Ciudad de México, CDMX
- Tiempo completo
- Python
3d
Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $600,000 a $1,200,000 por año
- Tiempo completo
- Licenciatura
- Python
Postulación rápida
Software Engineer, Python - Associate, Mexico City
BlackRock Investments —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Data - Scraping Software Engineer
Belvo —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
- Horarios flexibles
Software Engineer (Platform & Cloud Enablement), Remote, LATAM
ITX Corp —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Negociación
Postulación rápida
11d
MEX - Integrations Engineer
Tidal —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- SQL
- Habilidades de comunicación
Postulación rápida
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Lead Product Engineer (Python), Materia AI
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en bases de datos
- Licenciatura
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
Machine Learning Engineer - Data Science
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Licenciatura
- Seguro dental
- Seguro de la vista
13d
Marketing Data Scientist, Data & AI Enablement
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
- Maestría
Postulación rápida
Data Engineer
NielsenIQ —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en bases de datos
- SQL
Postulación rápida
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática

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Forward Deployed Engineering Manager, GenAI, Cloud Consulting, LATAM (English, Portuguese/Spanish)

Google -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Doctorado
Informática
Ingeniería de software
Inglés
Maestría
Licenciatura
Portugués
Entrevistas
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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: São Paulo, State of São Paulo, Brazil; Santiago, Chile; Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in cloud computing or a technical customer-facing role.
2 years of experience managing a software engineering, forward deployed engineering (FDE), or technical customer-facing team in a cloud computing environment.
Experience in Python or similar coding languages.
Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
Ability to communicate in English and Portuguese or Spanish fluently for customer interactions.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience designing end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
Experience designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
Experience architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
Experience performing discovery interviews to identify business problems and translate complex hardware/AI constraints for C-suites and technical teams.

About the job

As a Manager of a GenAI Forward Deployed Engineering (FDE) team for Google Cloud Consulting, you will lead AI/ML engineers who bridge the gap between frontier AI products and production-grade reality within customers. You will be responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments. In this role, you will provide in-depth technical mentorship to your team while balancing high-level alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management issues that hinder AI from achieving enterprise-grade maturity.

Responsibilities

Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts (e.g., MLOps, GenMedia, or Agentic systems) to key accounts.
Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering team.
Identify skill gaps in emerging tech (e.g., MCP, tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.

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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