Forward Deployed Engineer III, GenAI, Google Cloud

Forward Deployed Engineer III, GenAI, Google Cloud corporate_fare Google place San Francisco, CA, USA ; Boulder, CO, USA ; +19 more ; +18 more bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline X The application window will be open until at least April 23, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. 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. 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. 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 your preferred working location from the following: San Francisco, CA, USA; Boulder, CO, USA; Cambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Los Angeles, CA, USA; Washington

D.C., DC, USA

; Austin, TX, USA; Chicago, IL, USA; San Diego, CA, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Miami, FL, USA; Portland, OR, USA; Atlanta, GA, USA .

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 e.g., Google Cloud Platform (GCP). Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like 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. About the job 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 $153,000-$222,000 + 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 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 . Responsibilities Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment. Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google's AI stack, converting them into reusable modules or product feature requests for the Engineering teams. Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.