Portfolio Leader, Enterprise Ai Delivery

Salesforce, Inc.; Santiago; In loco; CLP 115.942.000 - 173.913.000; Tempo pieno

Descrizione del lavoro

Google Cloud is seeking a Forward Deployed Engineer specializing in Generative AI to embed with customer teams, move from rapid prototypes to production, and bridge frontier AI with enterprise systems. You will code, debug, and ship bespoke agentic solutions directly inside customer environments, addressing integration, data readiness, and state-management challenges.

Fluency in Spanish and English is required, and the role embraces a founder’s mindset with high autonomy, collaboration across

Competenze

• Bachelor's degree in Engineering, Computer Science, or related field.
• 5 years of software development experience in Python.
• Experience deploying AI solutions on cloud platforms (GCP) and building AI pipelines.
• Bilingual Spanish and English communication for client management.

Mansioni

• Develop complex AI applications and move prototypes to production.
• Integrate Google's AI products with customers' live infrastructure and APIs.
• Design evaluation pipelines and observability for accuracy, safety, and latency.

Conoscenze

Python programming

AI systems

Spanish & English

Cloud integration

Formazione

Bachelor's degree in Engineering/CS or related field

Master's or PhD in AI/CS (preferred)

Strumenti

Vector databases

RAG-like architectures

Descrizione del lavoro

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

Share 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.

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

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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.

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.