Forward Deployed Engineer IV, GenAI, Google Cloud
Google · Chicago, IL
- On site
- Full-time
- $265,000 / year
- Chicago, IL
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Job highlights
- Build and deploy AI solutions with Google Cloud.
- Code, debug, and ship agentic solutions.
- Solve AI integration and data readiness challenges.
- Provide customer feedback for product roadmap.
- Lead AI adoption and upskill teams.
About the role
Forward Deployed Engineer GenAI
As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customer environments. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions.
This role is designed for high-agency engineers with a founder’s mindset. You will solve the integration complexities, data readiness, 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 and acting as a critical feedback loop for 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 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.
Responsibilities
- Lead the "Discovery-to-Deployment" journey, serving as the lead developer for AI applications and transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems and MCP servers) that drive measurable ROI.
- Bridge the enterprise gap by architecting and coding the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
- Engineer for production excellence, building high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Act as a product catalyst, identifying repeatable field patterns and technical "friction points" in Google’s AI stack and converting them into reusable modules or product feature requests for the Engineering teams.
- Drive regional leadership and upskilling by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.
Key skills/competency
- Artificial Intelligence (AI)
- Generative AI (GenAI)
- Google Cloud
- Python
- Cloud Platforms
- Production-grade Solutions
- AI Architecture
- Agentic Workflows
- Full-Stack Development
- Technical Discovery
Skills & topics
- Forward Deployed Engineer
- GenAI
- Google Cloud
- Artificial Intelligence
- Machine Learning
- Python
- Cloud Computing
- Software Engineering
- AI Development
- Agentic Systems
- Vertex AI
- Gemini Models
- Production Deployment
- Technical Lead
- Customer Solutions
How to get hired
- Customize your resume: Highlight experience with production-grade AI, Python, and cloud architecture.
- Showcase GenAI expertise: Detail projects involving agentic workflows and LLM optimization.
- Demonstrate leadership: Emphasize experience leading technical discovery and mentoring teams.
- Prepare for technical interviews: Be ready to discuss AI system design and cloud deployment.
- Understand Google's culture: Research Google Cloud's commitment to AI innovation and customer success.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application window for the Forward Deployed Engineer GenAI role at Google Cloud?
- The application window for the Forward Deployed Engineer GenAI position at Google Cloud will remain open until at least April 23, 2026. Please note that the opportunity may close earlier based on business needs.
- What are the minimum qualifications for a Forward Deployed Engineer GenAI at Google?
- Minimum qualifications include a Bachelor’s degree in a STEM field or equivalent experience, 8 years of experience shipping production-grade AI solutions, proficiency in Python, experience architecting AI on cloud platforms, leading technical discovery with executives, and building full-stack solutions.
- What preferred qualifications would make a candidate stand out for the GenAI Forward Deployed Engineer role?
- Preferred qualifications include a Master's or PhD in AI/CS, experience with multi-agent systems frameworks (LangGraph, CrewAI), knowledge of LLM-native metrics and optimization, and implementing secure agentic workflows with MCP and OAuth.
- What is the typical work arrangement for a Forward Deployed Engineer GenAI at Google Cloud?
- This role may be located in various Google Cloud offices across the US, including Playa Vista, CA, and other specified locations. While the job description doesn't explicitly state remote work, the list of potential locations suggests flexibility, and candidates can share their preferred working location during the application process.
- What kind of AI products and platforms will I work with as a GenAI Forward Deployed Engineer?
- As a GenAI Forward Deployed Engineer, you will work with Google Cloud's advanced AI portfolio, including frontier Gemini models and the complete Vertex AI platform. You'll also engage with DeepMind's engineering and research teams.
- How does the Forward Deployed Engineer role differ from traditional advisory roles at Google Cloud?
- Unlike traditional advisory roles, the Forward Deployed Engineer acts as an embedded builder and 'builder-consultant.' This involves coding, debugging, and jointly shipping bespoke agentic solutions, moving beyond just architecture to implementation within customer environments.
- What is the salary range for the Forward Deployed Engineer GenAI position at Google?
- The US base salary range for this full-time position is $183,000-$265,000 annually, plus potential bonus, equity, and benefits. The exact salary depends on factors like location, skills, experience, and education.