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

Google; Colombia; Remote; MXN 1,500,000 - 2,700,000; Full time

Job summary

Google LLC in Mexico City is seeking a GenAI Forward Deployed Engineer (FDE) to embed with strategic accounts, turning prototypes into production-grade, agentic solutions within the customer environment.

This role blends hands-on coding with deployment, data readiness, and state-management challenges, offering high autonomy and collaboration with Google's AI portfolio and Vertex AI.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field; equivalent practical experience.
• 5 years of experience with software development using Python or similar.
• Experience taking AI-driven solutions from concept to production and architecting AI systems on cloud platforms (GCP).
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures.
• Experience writing code for ML, NLP, and Generative AI agents.
• Fluent in Spanish and English to support client relationship management in this region.

Responsibilities

• Develop complex AI applications and production-grade agentic workflows.
• Code connective tissue between Google’s AI products and customer live infra.
• Build evaluation pipelines and observability for accuracy, safety, latency.
• Collaborate with technical sales to ensure project success and adoption.

Skills

Python

AI/ML development

Cloud platforms (GCP)

Data pipelines & vector databases

NLP / Generative AI

Bilingual (Spanish & English)

Education

Bachelor’s degree in Engineering or CS or related field

Master’s degree or PhD in AI/CS or related field

Tools

LangGraph

CrewAI

ADK

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

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.

Preferred working locations

• Bogotá, Bogota, Colombia
• Mexico City, CDMX, Mexico
• Buenos Aires, Argentina
• Santiago, Chile
• Lima, Peru

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 taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience writing code for machine learning, natural language processing, and generative AI agents.
• Ability to communicate in Spanish and English 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 "LLM-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 will 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. Your 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, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
• 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 rigorous 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.
• Collaborate with technical sales 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 .