Forward Deployed Engineer III, Applied AI, Google Cloud

Forward Deployed Engineer III, Applied AI, Google Cloud _corporate_fare_ Google _place_ San Francisco, CA, USA; Atlanta, GA, USA; +12 more; +11 more Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XApplicants 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. The application window will be open until at least April 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: - 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 Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; New York, NY, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Reston, VA, USA; Seattle, WA, USA; Washington D.C., DC, USA . Minimum qualifications: + Bacheloru2019s degree in Computer Science or equivalent practical experience in Software Engineering, SRE, or DevOps. + 8 years of experience architecting scalable AI systems on cloud platforms. + Experience deploying conversational agents using code-based frameworks and build in real-time with customers utilizing modern generative AI tools. + Experience in deploying resources via Terraform or similar tools to automate the setup of agents, functions, and networking. + Experience building full-stack applications (not just scripts) that interact with enterprise IT infrastructures and develop customer projects forward in a timely manner. Preferred qualifications: + Masteru2019s degree or PhD in AI, Computer Science, or a related technical field. + Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Googleu2019s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation. + Experience debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time. + Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations. + Track record of troubleshooting live, high-traffic systems during critical windows. About the job As a Forward Deployed Engineer (FDE) in Applied AI, you are the

Created: 2026-04-08