Sobre

MINIMUM QUALIFICATIONS

• * Bachelor's degree in Science, Technology, Engineering, Mathematics, or
• equivalent practical experience.
• * 6 years of experience with cloud native architecture in a customer-facing or
• support role.
• * 5 years of experience in one or more general purpose programming languages
• (e.g., Python, Java, C++, Go) with a focus on Machine Learning or Gen AI
• applications.
• * Experience with Agentic AI frameworks (e.g., ADK, LangGraph, CrewAI,
• LangChain, etc.) and integrating AI APIs (e.g., Large Language Models APIs,
• Speech-To-Text, Text-To-Speech, Multimodal etc.).
• * Ability to communicate in English and Portuguese fluently to engage with
• local stakeholders.

PREFERRED QUALIFICATIONS

• * Master's degree in Computer Science, Engineering, Mathematics, a technical
• field, or equivalent practical experience.
• * Experience implementing CI/CD solutions in the context of Generative AI
• applications, including the design of automated evaluation frameworks,
• continuous integration for agents, and observability strategies for
• production systems.
• * Experience in architecting and developing software for scalable, distributed
• systems.
• * Experience in data and information management as it relates to big data
• trends and issues within businesses.
• * Understanding of modern AI architectures beyond basic prompting, including
• advanced Retrieval-Augmented Generation (RAG) techniques, function calling,
• memory banks, semantic caching, guardrail mechanisms, vector search
• optimization, and model fine-tuning.

ABOUT THE JOB

• When leading companies choose Google Cloud, it's a huge win for spreading the
• power of cloud computing globally. Once educational institutions, government
• agencies, and other businesses sign on to use Google Cloud products, you come in
• to facilitate making their work more productive, mobile, and collaborative. You
• listen and deliver what is most helpful for the customer. You assist fellow
• sales Googlers by problem-solving key technical issues for our customers. You
• liaise with the product marketing management and engineering teams to stay on
• top of industry trends and devise enhancements to Google Cloud products.

• As a Customer Engineer, you will partner with technical Sales teams as a subject
• matter expert in Generative AI to differentiate Google Cloud to our customers.
• You will help prospective and existing customers and partners understand the
• power of Google Cloud, develop creative cloud solutions and architectures to
• solve their business challenges, engage in proofs-of-concepts, and troubleshoot
• any technical questions and roadblocks. You will use your expertise and
• presentation skills to engage with customers to understand their business and
• technical requirements, and present practical and useful solutions on Google
• Cloud. You will have excellent technical, communication and organizational
• skills. You will partner with internal engineering stakeholders to improve
• products and build solutions, optimizing for results when in production and
• identifying innovative ways to multiply your impact and the impact of the team
• as a whole.

• Google Cloud accelerates every organization’s ability to digitally transform its
• business and industry. We deliver enterprise-grade solutions that leverage
• Google’s technology, and tools that help developers build more sustainably.
• Customers in more than 200 countries and territories turn to Google Cloud as
• their trusted partner to enable growth and solve their most critical business
• problems.

RESPONSIBILITIES

• * Partner with the sales team to identify and qualify AI business
• opportunities. Act as the primary technical advisor for AI adoption, helping
• customers define their strategy for "Buy vs. Build" and identify high-impact
• use cases.
• * Share in-depth Generative AI and ML expertise to support the technical
• relationship with customers, including technology advocacy, supporting bid
• responses, product and solution briefings, proof-of-concept work, and
• partnering directly with product management to prioritize solutions impacting
• customer adoption to Google Cloud.
• * Work directly with Google Cloud products to demonstrate and prototype
• integrations in customer and partner environments.
• * Recommend integration strategies, enterprise architectures, platforms, and
• application infrastructure required to successfully implement a complete AI
• solution on Google Cloud.
• * Drive the adoption of Agentic AI systems by guiding enterprise customers in
• designing and implementing scalable application capabilities.