Operador De Apilador Doble Profundo – Turnos Rotativos

Consultores-De-Empresas-Est-Ltda.; Santiago; On-site; CLP 40,000,000 - 90,000,000; Full time

Job summary

Google Cloud is seeking a Forward Deployed Engineer (GenAI) in a Chilean location to bridge frontier AI products with production-grade realities at customer sites. You will code, debug, and ship bespoke agentic solutions within customer environments, operating with high autonomy in a fast-moving GTM team.

You will address integration, data readiness, and state-management challenges to reach enterprise-grade maturity while collaborating with sales and engineering to ensure scalable adoption of AI

Qualifications

• Bachelor's degree in Engineering/CS or equivalent practical experience.
• 5 years of software development experience using Python.
• Experience deploying AI-driven solutions on cloud platforms (GCP).
• Experience building data pipelines with vector DBs and RAG-like architectures.
• Fluent in Spanish and English for client relationships.

Responsibilities

• Develop complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google's AI products and customer's live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and convert them into reusable modules or feature requests for Engineering teams.
• Collaborate with technical sales to instill Google-grade development best practices for long-term success.

Skills

Python

AI systems

NLP

GCP experience

Spanish English

Education

Bachelor's degree

Tools

Vector databases

LangGraph

CrewAI

ADK

Job description

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

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

_corporate_fare_ Google _place_ Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico; +4 more; +3 more

**Mid**

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

XIn 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, ...

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.

**Additional Information**

**Job Number**

**Job Category** Rooms & Guest Services Operations

**Location** Avenida Kennedy 5601, Las Condes, Santiago Regio , Chile

**Located Remotely?** N

**Position Type** Non‑Management

**POSITION SUMMARY**

Our jobs aren't just about giving guests a smooth check‑in and check‑out. Instead, we want to build and experience that is memorable and unique. Our Guest Experience Experts take the initiative to deliver a wide range of services that guide guests through their entire stay. They are empowered to move about their space and do what needs to be done. Whether processing operational needs, addressing guest requests, completing reports, or sharing the highlights of the local area, the Guest Experience Expert makes transactions feel like part of the experience.

No matter what position you are in, there are a few things that are critical to success - creating a safe work place, following company policies and procedures, maintaining confidentiality, protecting company assets, upholding quality standards, and ensuring your uniform, personal appearance, and communications are professional. Guest Experience Experts will be on their feet and moving around (stand, sit, or walk for an extended time) and taking a hands‑on approach to work (move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance). Doing all these things well (and other reasonable job duties as requested) is critical for Guest Experience Experts - to get it right for our guests and our business each and every time.

**PREFERRED QUALIFICATIONS**

Education: High school diploma or G.E.D. equivalent.

Related Work Experience: No related work experience.

Supervisory Experience: No supervisory experience.

License or Certification: None

_At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non‑discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law._