18 publicaciones de empleo destacadas de ai engineer forward deployed engineer en pedregal de carrasco cdmx (¡Están contratando!)

Forward Deployed Engineer III, Generative AI, Google Cloud (English, Spanish)
Google —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Doctorado
11d
AI Engineer - Forward Deployed Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- JavaScript
Forward Deployed Engineer / AI Engineer MX
Toku —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Habilidades de comunicación
9h
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
Forward Deployed Engineer
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Python
Postulación rápida
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Senior Forward Deployed Engineer
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Administración de personal
- SQL
- Capacitación
Postulación rápida
Senior Software Engineer (Mexico)
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Principal Software Engineer
Sezzle —Ciudad de México, CDMX
- $6,000 a $11,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
Deployment Strategist (Strategic Builder)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Administración de personal
- Informática
Software Engineer, Platform Experience
Siena AI —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- SQL
- JavaScript
Senior Software Engineer with Accounting Experience (LATAM)
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Portfolio Leader (Builder People Leader)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Liderazgo
Solutions Architect
ByteDance —Ciudad de México, CDMX
- Administración de personal
Country Manager - Mexico Market Launcher
Murphy AI —Ciudad de México, CDMX
- Trabajo híbrido
Postulación rápida
Growth Delivery Director
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Experiencia en ventas
Postulación rápida
Sr. Technical Program Manager, FDE Engagements
MongoDB —Ciudad de México, CDMX
- Azure
- Inglés
- Permiso de maternidad y paternidad
11d

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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

Hace 11 días

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

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.

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

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 degree 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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ai engineer forward deployed engineer empleos en pedregal de carrasco cdmx

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