Forward Deployed Engineer I, Applied AI, Google Cloud

corporate_fare Google place San Francisco, CA, USA ; Atlanta, GA, USA ; +18 more Apply info_outline info_outline X The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. 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. This role may also be located in our Playa Vista, CA campus. 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; 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 . Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 1 year of experience with software development using Python or similar coding languages. Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking. Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects. Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP). Preferred qualifications: Master’s or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. Experience debugging agent logic and optimizing tool selection, including tracing conversation identifications (IDs) across microservices to identify and resolve failures in real-time. Experience connecting agents to enterprise knowledge bases and optimizing retrieval-augmented generation (RAG) chunking to prevent hallucinations. Track record of troubleshooting live, high-traffic systems during critical windows. Ability to travel up to 50% of the time. About the job As a Forward Deployed Engineer in Applied AI, you will be the "Agent Engineer" and the primary driver for our customers' AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering lifecycle, including the transition from initial concepts to real-world business value and scalable, secure AI systems. This is a high-travel role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJ) for our customers at their sites. About the job As a Forward Deployed Engineer in Applied AI, you will be the "Agent Engineer" and the primary driver for our customers' AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the engineering lifecycle, including the transition from initial concepts to real-world business value and scalable, secure AI systems. This is a high-travel role focused on leading technical delivery for conversational AI pilots and establishing the first customer user journeys (CUJ) for our customers at their sites. 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 US base salary range for this full-time position is $123,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Serve as the lead developer for Conversational AI and customer experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Architect and code conversational flows that functional, and optimized for the connective tissue between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. Identify repeatable field patterns and technical friction points in Google’s Applied Artificial Intelligence (AAI) stack, converting them into modules or product feature requests for Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring project success and end-user adoption. 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/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr Google Inc.