Careers
Careers

job details

Back to jobs search

Jobs search results

3,869 jobs matched
Showing 2761 to 2780 of 3869 rows
Back to jobs search

Forward Deployed Engineer IV, GenAI, Google Cloud

GoogleSão Paulo, State of São Paulo, Brazil

Please submit your resume in English - we can only consider applications submitted in this language.


Minimum qualifications:

  • Bachelor’s degree in Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience.
  • 8 years of experience shipping production-grade AI-driven solutions to external or internal customers.
  • Experience in Python.
  • Experience architecting AI systems on cloud platforms.
  • Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements.
  • Experience building full-stack solutions that interface with enterprise systems.

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, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
  • Knowledge of (Large Language Model) "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.

About the job

As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customer environments. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions.

In this role, you will solve the integration complexities, data readiness, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment and acting as a critical feedback loop for Google Cloud’s future product roadmap.
It'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.

Responsibilities

  • Lead the "Discovery-to-Deployment" journey, serving as the lead developer for AI applications and transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems and model context protocol (MCP) servers) that drive measurable Return on Investment (ROI).
  • Bridge the enterprise gap by architecting and coding the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
  • Engineer for production excellence, building high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  • Act as a product catalyst, identifying repeatable field patterns and technical "friction points" in Google’s AI stack and converting them into reusable modules or product feature requests for the Engineering teams.
  • Drive regional leadership and upskilling by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google 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.

To 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.
Google apps
Main menu