Forward Deployed Engineer II, GenAI, Google Cloud

Job Summary A GenAI Forward Deployed Engineer at Google Cloud bridging frontier AI products and production-grade solutions for customers. Job Information Full-time Posted March 15 Base salary range: $153,000-$222,000 + bonus + equity + benefits. Salary determined by role, level, location, skills, experience, and education. Preferred work locations: San Francisco, CA; Boulder, CO; Cambridge, MA; Mountain View, CA; New York, NY; Reston, VA; Seattle, WA; Sunnyvale, CA; Los Angeles, CA; Washington DC; Austin, TX; Chicago, IL; San Diego, CA. Responsibilities Lead development of AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI. Architect and code connective layers between Google’s AI products and customers’ live infrastructure, including APIs, legacy data silos and security perimeters. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous accuracy, safety and latency requirements. Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for engineering teams. Drive engineering excellence by mentoring talent, co‑building with customer teams and influencing cross‑functional strategies to elevate organizational technical capabilities. Minimum Qualifications Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 6 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages. Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements. Experience architecting scalable AI systems on cloud platforms such as Google Cloud Platform (GCP). Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation architectures to power enterprise-grade AI solutions. 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 ADK) and patterns like ReAct, self-reflection and hierarchical delegation. Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Benefits Health, dental, vision, life, disability insurance. 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 (statutory, where applicable); 5 days/event (discretionary). Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks. Baby Bonding Leave: 18 weeks. Holidays: 13 paid days per year. EEO 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. For accommodations, please complete the Accommodations for Applicants form. #J-18808-Ljbffr SupportFinity™