Forward Deployed Engineer III, Generative AI, Google Cloud

Location and Fair Chance Statements Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. The application window will be open until at least June 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Preferred Working Locations San Francisco, CA, USA Atlanta, GA, USA Boulder, CO, USA Cambridge, MA, USA Chicago, IL, USA Addison, TX, USA Detroit, MI, USA Irvine, CA, USA Kirkland, WA, USA Los Angeles, CA, USA Miami, FL, USA Mountain View, CA, USA New York, NY, USA Portland, OR, USA Reston, VA, USA San Diego, CA, USA Seattle, WA, USA Sunnyvale, CA, USA Washington D.C., DC, USA Benefits Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short‑Term Disability + Baby Bonding): 28‑30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year 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 architecting AI systems on cloud platforms (e.g., GCP). Experience taking production‑grade AI‑driven solutions from conception to launch for customers. Experience leading technical discovery sessions with customers. Experience building pipelines for structured and unstructured data using vector databases and retrieval‑augmented generation (RAG)-like architectures to power enterprise AI solutions. Preferred Qualifications Master’s or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and 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. About The Job As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be 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. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production, including solving integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will provide white glove deployment of AI systems and act as a critical feedback loop, transforming real-world field insights into 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. The U.S. base salary range for this full-time position is $174,000–$252,000 plus bonus, equity, and benefits. Individual pay is determined by work location, job-related skills, experience, and education. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable return on investment. Architect and code the connective tissue between Google’s AI products and the 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 engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Equal Employment Opportunity Statement Google 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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr Google