Forward Deployed Engineer II, Generative AI, Google Cloud

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

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;
Houston, TX, 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.
• 2 years of experience with software development using Python or similar coding languages.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud platform (GCP)).
• Experience building pipelines for structured and unstructured data using both vector databases and (retrieval-augmented generation) RAG-like architectures to power enterprise AI solutions.

• Master’s or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., Lang Graph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Experience leading technical discovery sessions.
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset.

You will address blockers to production including solving integration complexities, data readiness issues, and state‑management issues that prevent AI from reaching enterprise‑grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real‑world field insights into Google Cloud’s future product roadmap.

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 ’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 Deep Mind’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 $147,000-$211,000 + 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…