Forward Deployed Engineer IV, GenAI, Google Cloud

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. You function as a “builder‑consultant,” moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions. This role is designed for high‑agency engineers with a founder’s mindset, solving integration complexities, data readiness, and state‑management issues that prevent AI from reaching enterprise‑grade maturity. You will serve a dual purpose: providing “white glove” deployment and acting as a critical feedback loop for Google Cloud’s future product roadmap. 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 that drive measurable 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 up‑level organizational technical capabilities. 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. Knowledge of 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. Preferred Qualifications Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi‑agent systems using frameworks such as LangGraph, CrewAI, or Google’s ADK, and patterns like ReAct, self‑reflection, and hierarchical delegation. Benefits Health, dental, vision, life, and 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 per year (increased to 69 hours per 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. Working Locations You may choose from the following locations: San Francisco, CA; Boulder, CO; Cambridge, MA; Chicago, IL; Los Angeles, CA; Mountain View, CA; New York, NY; Reston, VA; Seattle, WA; Sunnyvale, CA; Washington D.C.; Atlanta, GA; Austin, TX; Addison, TX; Detroit, MI; Irvine, CA; Kirkland, WA; Miami, FL; Portland, OR. Equal Opportunity Statement 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 or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO policy, workplace discrimination is illegal, belonging at Google, and how we hire. Language Requirement English proficiency is a requirement for all roles unless stated otherwise. #J-18808-Ljbffr Google Inc.