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

Google; Buenos Aires; Presencial; ARS 216.357.000 - 309.081.000; Tempo integral

Resumo da vaga

Google is seeking a Forward Deployed Engineer for Generative AI in Google Cloud, with strong Python and AI systems expertise. The role centers on embedding with customers to deliver production-grade agentic AI solutions within enterprise environments, translating needs into scalable deployments, and collaborating across sales and engineering teams to drive adoption.

You will work in a high-agency, founder-minded capacity, addressing integration, data readiness, and state-management blockers

Qualificações

• 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).
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures for 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.

Responsabilidades

• Serve as a developer for complex AI applications, transitioning prototypes to production-grade agentic workflows that drive ROI.
• Architect and code the connective tissue between Google's AI products and customer's live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, and latency requirements.
• Identify repeatable field patterns and friction points, turning them into reusable modules or product feature requests for Engineering teams.
• Collaborate with technical sales teams to instill Google-grade development best practices and ensure long-term project success.

Conhecimentos

Python programming

AI systems architecture

Cloud engineering (GCP)

Data pipelines (vector DBs, RAG)

ML/NLP coding

Spanish & English fluency

Formação

Bachelor's degree in Engineering/CS

Master's or PhD in AI/CS

Ferramentas

Google Cloud Platform (GCP)

LangGraph

CrewAI

ADK

Descrição da vaga

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

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Mid

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.