{"schemaVersion":"jobsearcher.job.v1","id":"7c8941588219a8a2eff22049","url":"https://jobsearcher.com/jobs/7c8941588219a8a2eff22049","canonicalUrl":"https://jobsearcher.com/jobs/7c8941588219a8a2eff22049","title":"Forward Deployed Engineer II, GenAI, Google Cloud","description":"Job Summary\nA GenAI Forward Deployed Engineer at Google Cloud bridging frontier AI products and production-grade solutions for customers.\n\nJob Information\nFull-time\nPosted March 15\n\nBase salary range: $153,000-$222,000 + bonus + equity + benefits. Salary determined by role, level, location, skills, experience, and education.\n\nPreferred 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.\n\nResponsibilities\n\nLead development of AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.\n\nArchitect and code connective layers between Google’s AI products and customers’ live infrastructure, including APIs, legacy data silos and security perimeters.\n\nBuild high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous accuracy, safety and latency requirements.\n\nIdentify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for engineering teams.\n\nDrive engineering excellence by mentoring talent, co‑building with customer teams and influencing cross‑functional strategies to elevate organizational technical capabilities.\n\nMinimum Qualifications\n\nBachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n\n6 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.\n\nExperience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.\n\nExperience architecting scalable AI systems on cloud platforms such as Google Cloud Platform (GCP).\n\nExperience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation architectures to power enterprise-grade AI solutions.\n\nPreferred Qualifications\n\nMaster’s degree or PhD in AI, Computer Science or a related technical field.\n\nExperience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI or Google’s ADK) and patterns like ReAct, self-reflection and hierarchical delegation.\n\nKnowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n\nBenefits\n\nHealth, dental, vision, life, disability insurance.\n\n401(k) with company match.\n\nPaid 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.\n\nSick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary).\n\nMaternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.\n\nBaby Bonding Leave: 18 weeks.\n\nHolidays: 13 paid days per year.\n\nEEO Statement\nGoogle 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.\n\n#J-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T04:06:19.016Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer II, GenAI, Google Cloud","description":"Job Summary\nA GenAI Forward Deployed Engineer at Google Cloud bridging frontier AI products and production-grade solutions for customers.\n\nJob Information\nFull-time\nPosted March 15\n\nBase salary range: $153,000-$222,000 + bonus + equity + benefits. Salary determined by role, level, location, skills, experience, and education.\n\nPreferred 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.\n\nResponsibilities\n\nLead development of AI applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.\n\nArchitect and code connective layers between Google’s AI products and customers’ live infrastructure, including APIs, legacy data silos and security perimeters.\n\nBuild high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous accuracy, safety and latency requirements.\n\nIdentify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for engineering teams.\n\nDrive engineering excellence by mentoring talent, co‑building with customer teams and influencing cross‑functional strategies to elevate organizational technical capabilities.\n\nMinimum Qualifications\n\nBachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n\n6 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.\n\nExperience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.\n\nExperience architecting scalable AI systems on cloud platforms such as Google Cloud Platform (GCP).\n\nExperience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation architectures to power enterprise-grade AI solutions.\n\nPreferred Qualifications\n\nMaster’s degree or PhD in AI, Computer Science or a related technical field.\n\nExperience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI or Google’s ADK) and patterns like ReAct, self-reflection and hierarchical delegation.\n\nKnowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n\nBenefits\n\nHealth, dental, vision, life, disability insurance.\n\n401(k) with company match.\n\nPaid 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.\n\nSick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary).\n\nMaternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.\n\nBaby Bonding Leave: 18 weeks.\n\nHolidays: 13 paid days per year.\n\nEEO Statement\nGoogle 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.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T04:06:19.016Z","dateModified":"2026-06-20T04:06:19.016Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7c8941588219a8a2eff22049"},"url":"https://jobsearcher.com/jobs/7c8941588219a8a2eff22049"}}