Partner with technical sales teams as a subject matter expert in Generative AI to differentiate Google Cloud to customers, develop solutions, and troubleshoot technical issues.
Locations (4)
São Paulo, São Paulo, Brazil
Santiago, Santiago, Chile
Bogotá, Bogota, Colombia
Mexico City, CDMX, Mexico
Responsibilities
Partner with the business team to identify and qualify AI business opportunities
Act as the primary technical advisor for AI adoption
Support bid responses, product and solution briefings
Demonstrate and prototype integrations in customer and partner environments
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure
Requirements
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
Nice to have: Master's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
Lead and manage a team of Customer Engineering managers and subject matter experts to deliver cloud transformation outcomes for customers worldwide.
Responsibilities
Lead a team of CE Managers and extended teams, focusing on team culture, talent strategy, and skills development to deliver successful cloud transformation outcomes for customers and accelerate value realization.
Foster customer partnership and provide thought leadership related to cloud, cross-pillar solutions, and expansion opportunities to drive technical wins.
Partner with business leadership to define technical go-to-market strategies and delivery plans, with a focus on winning new workloads and driving consumption within existing ones.
Balance technical leadership with operational excellence; lead workload and opportunity review meetings with Sales and CE teams and provide insight into how to achieve technical agreements and migration strategy, working directly with customers, partners, and prospects.
Work cross-functionally across Google, partners, and your team to resolve technical roadblocks.
Requirements
Bachelor's degree or equivalent practical experience
As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs-of-concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win and define the delivery and consumption plans.
Locations (2)
São Paulo, Brazil
Brasilia, Brazil
Responsibilities
Architect and manage Large Language Model (LLM) deployments across on-premises (NVIDIA/AMD) and cloud (cloud computing platform, Google Cloud platform (GCP) environments.
Audit multi-agent orchestration, agent construction, and vector databases to map data flows and enforce privilege boundaries.
Bridge local high-compute clusters and cloud AI services while maintaining a consistent security posture.
Use Docker and Kubernetes to orchestrate scalable inference and training environments, optimizing Graphics Processing Unit (GPU) utilization and resource isolation.
Bridge the gap between pre-sales agreement shaping and post-sales execution for AI accounts, ensuring solutions are shaped through adoption, rapid activation, and viable delivery.
Partner with account teams and practice Customer Engineers during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
Customer Engineer, AI, Google Cloud (Thai, English)
Partner with technical sales teams to differentiate Google Cloud to customers, serving as a technical expert for AI solutions.
Locations (2)
Singapore, Singapore
Bangkok, Bangkok, Thailand
Responsibilities
Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption
Combine business strategies and direct development and prototyping to provide functional, customer‑tailored solutions that secure buy‑in from customer domain experts
Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go‑To‑Market team
Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues
Requirements
Customer Solutions Consultant, Platform, Strategic Pursuits, Google Cloud
Partner with business teams to differentiate Google Cloud Platform (GCP) to the customers and serve as the customer’s primary technical partner and advisor, engaging in technical-led conversations to understand business issues.
Responsibilities
Develop and own the technical account plan and strategy, participating in planning and supporting business goals.
Combine business, programming, and solutions architecture expertise to show the value of Google Cloud Platform across the portfolio through demos, pilots and workshops.
Architect cross-pillar solutions, drive technical wins, and define delivery plans for customers, continue to lead the technical engagement in the solution phase.
Facilitate the post-business transition by supporting pricing activities and transitioning the delivery plan to implementation teams.
Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Cloud Artificial Intelligence (AI)
Nice to have: managing the business cycle
Nice to have: security concepts
Nice to have: migrating applications and services to cloud platforms
As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues.
Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.
Requirements
Bachelor's degree or equivalent practical experience
Drive initial and ongoing business ramp for Google Cloud Platform customers, managing deployment plans, clearing blockers, and ensuring maximum benefit from cloud investments.
Responsibilities
Develop and orchestrate a structured, end-to-end deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).
Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment.
Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.
Identify expansion opportunities for new workloads within the account during project execution.
Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreements renewals.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Experience with Google Cloud products
Nice to have: Experience working with product and capacity teams to resolve technical and capacity blockers
Nice to have: Experience with object-oriented programming languages (Python, Java)
Lead technical solution design and support for Google Cloud AI customers, partnering with sales teams to deliver tailored demos, PoCs, and adoption strategies.
Responsibilities
Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption
Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
Act as a trusted technical advisor and Google Cloud advocate by delivering deep technical consultation to build lasting relationships and traveling to customer sites, conferences, and industry events as required
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team
Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: LangGraph
Nice to have: Semantic Kernel
Nice to have: Google AI Agent Development Kit (ADK)
Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
Requirements
Bachelor’s degree or equivalent practical experience
Bachelor's degree in a technical field or equivalent practical experience
Nice to have: experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit
Nice to have: experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, cloud infrastructure, Agentic AI, and cloud networking
Nice to have: experience engaging with, or presenting to, technical stakeholders or executive leaders
Nice to have: knowledge of integration patterns using OpenAPI and Model Context Protocol
Customer Engineer, Generative AI, LATAMNewGoogle · São Paulo, Brazil+3 more