pForward Deployed Engineer, Gen AI, Google Cloud (English, Portuguese) /p pShare Forward Deployed Engineer, Gen AI, Google Cloud (English, Portuguese) /p pcorporate_fare Google place São Paulo, Brazil; Brazil laptop_windows Remote eligible /p pbMid /b /p pExperience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. /p pShare Forward Deployed Engineer, Gen AI, Google Cloud (English, Portuguese) /p pinfo_outline /p pX /p pIn most instances, this position requires in-person interviews as part of the hiring process. /p pNote: By applying to this position you will have an opportunity to share your preferred working location from the following: /p pIn-office locations: São Paulo, Brazil. /p pRemote location(s): Brazil. /p h3Minimum qualifications: /h3 ul liBachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. /li li5 years of experience with software development using Python or similar coding languages. /li liExperience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud platform (GCP)). /li liExperience building pipelines for structured and unstructured data using both vector databases and (retrieval-augmented generation) RAG-like architectures to power enterprise AI solutions. /li liExperience leading technical discovery sessions. /li liAbility to communicate in English and Portuguese fluently to engage with clients in the region. /li /ul h3Preferred qualifications: /h3 ul liMaster’s degree or PhD in AI, Computer Science, or a related technical field. /li liExperience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). /li liKnowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. /li /ul h3About the job /h3 pAs 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 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. This 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 accounts, you will 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. /p pIt'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. /p h3Responsibilities /h3 ul liServe as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). /li liArchitect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team. /li liBuild high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. /li liIdentify 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. /li liCo-build with technical sales teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. /li /ul pInformation collected and processed as part of your Google Careers profile,



and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . /p pGoogle 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. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( . /p pIf you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( . /p pGoogle 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. /p pTo all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. /p pEquity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. /p pGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: /p #J-18808-Ljbffr

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