Forward Deployed Engineer I, GenAI, Google Cloud
Google · Chicago, IL
- On site
- Full-time
- $145,000 / year
- Chicago, IL
Job highlights
- Build AI solutions within customer environments.
- Develop production-grade agentic workflows.
- Architect AI product integrations.
- Ensure AI system accuracy and safety.
- Provide feedback for product roadmap.
About the role
About the Job
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 customer environments. 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. You will address blockers to production, including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity and 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 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
- Serve as a developer for AI 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 (ROI).
- Architect and engineer the "connective tissue" linking Google’s AI products to customers' live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify recurring field patterns and friction points across Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Collaborate with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Minimum qualifications
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- Experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.
- Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), orchestrating model interactions with external tools to deliver solutions).
- Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform).
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 (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Key skills/competency
- Generative AI
- Google Cloud Platform
- Python
- Typescript
- Prompt Engineering
- Fine-tuning
- Retrieval-Augmented Generation (RAG)
- AI Architecture
- Multi-agent Systems
- Production-grade AI
Skills & topics
- Forward Deployed Engineer
- Generative AI
- Google Cloud
- GenAI
- AI Engineer
- Cloud Engineer
- Python
- Typescript
- Prompt Engineering
- RAG
- LLM
- Machine Learning
- Vertex AI
- Gemini
How to get hired
- Tailor your resume: Highlight Python, Typescript, AI, GCP, and Generative AI experience.
- Showcase AI projects: Detail experience with prompt engineering, fine-tuning, and RAG.
- Demonstrate cloud skills: Emphasize GCP architecture, deployment, and management.
- Prepare for technical interviews: Practice coding and AI/ML concepts.
- Understand Google Cloud: Research their AI portfolio and Vertex AI platform.
Technical preparation
Master Python and Typescript for AI.,Practice building with pre-trained models.,Deploy solutions on Google Cloud Platform.,Understand prompt engineering and RAG.
Behavioral questions
Describe a complex AI integration challenge.,How do you handle production blockers?,How do you provide feedback to engineering teams?,How do you instill best practices in others?
Frequently asked questions
- What is the application deadline for the Forward Deployed Engineer I, GenAI, Google Cloud role?
- The application window for the Forward Deployed Engineer I, GenAI, Google Cloud position is open until at least May 13, 2026. However, this date may be subject to change based on business needs.
- What are the minimum qualifications for the Forward Deployed Engineer I, GenAI, Google Cloud position?
- Minimum qualifications include a Bachelor's degree in a STEM field or equivalent experience, proficiency in Python or Typescript for AI solutions, experience with applied AI techniques like prompt engineering and RAG, and experience with cloud platforms such as Google Cloud Platform.
- What are the preferred qualifications for a Forward Deployed Engineer I, GenAI, Google Cloud at Google?
- Preferred qualifications include a Master's or PhD in AI or Computer Science, experience with multi-agent systems frameworks like LangGraph or CrewAI, and knowledge of LLM-native metrics and optimization techniques.
- What is the salary range for the Forward Deployed Engineer I, GenAI, Google Cloud role in the US?
- The US base salary range for this full-time position is $102,000 to $145,000, not including bonus, equity, or benefits. The exact salary will depend on factors like location, skills, experience, and education.
- What is the work arrangement for the Forward Deployed Engineer I, GenAI, Google Cloud role?
- This role offers flexibility in working location, with options including San Francisco, CA; Atlanta, GA; Austin, TX; and many others across the USA. While not explicitly stated as remote or hybrid, the numerous location options suggest potential for hybrid arrangements or on-site work in chosen locations.
- What benefits are offered for the Forward Deployed Engineer I, GenAI, Google Cloud role in the US?
- Eligible US-based employees receive a comprehensive benefits package including health, dental, vision, life, and disability insurance, 401(k) with company match, 20 days of paid vacation, sick time, maternity leave, baby bonding leave, and 13 paid holidays.
- What kind of AI experience is required for the Forward Deployed Engineer I, GenAI, Google Cloud role?
- The role requires experience building production-grade AI-driven solutions and applied AI experience focused on pre-trained models. This includes skills in prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and orchestrating model interactions.