Senior Genai Deployment Engineer (Forward-Deployed)

Accenture Plc; Buenos Aires; On-site; ARS 184,482,000 - 276,723,000; Full time

Job summary

Accenture Plc is seeking a Forward Deployed Engineer, Generative AI, Google Cloud, for LATAM clients. The role requires embedding with customer accounts to ship production-grade agentic AI solutions within existing infrastructure and security perimeters.

The position emphasizes hands-on development, rapid prototyping-to-production, and strong Spanish and English communication to manage regional client relationships and drive value realization.

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field.
• 5+ years of software development experience (Python or similar).
• Experience taking production-grade AI-driven solutions from concept to launch.
• Experience building data pipelines with vector databases and RAG-like architectures.
• Experience coding ML, NLP, and generative AI agents.
• Fluent Spanish and English for client engagement.

Responsibilities

• Develop complex AI applications from prototypes to production-grade agentic workflows.
• Architect and code integrations between Google Cloud AI products and customer environments.
• Build evaluation pipelines and observability for accuracy, safety, and latency.
• Identify reusable patterns and contribute to engineering roadmaps.
• Collaborate with technical sales to promote Google Cloud development best practices.

Skills

Python

AI systems

Vector DB

RAG architecture

NLP

Gen AI

Spanish-English

Education

Bachelor's degree

Tools

Google Cloud Platform

LangGraph

CrewAI

ADK

Job description

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

Location: Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico; Buenos Aires, Argentina; Santiago, Chile; Lima, Peru

Level: Mid
Experience: 5+ years in 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 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.

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).
• 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.

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 server) 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.

About the role:

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.

Contract: Full‑timeLocations: Bogotá, Mexico City, Buenos Aires, Santiago, Lima
EEO Statement:

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.

English proficiency is a requirement for all roles unless stated otherwise in the job posting. Application instructions have been omitted for compliance with reposting policy.