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About the Role
As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality within customers. You will function as an innovator-builder, coding, debugging, and jointly shipping bespoke agentic solutions directly within the customer’s environment. This role is for high-agency engineers with a founder’s mindset, addressing blockers to production such as integration complexities, data readiness, and state-management issues. You will provide white glove deployment of AI systems and act as a critical feedback loop, transforming field insights into Google Cloud’s future product roadmap.
Responsibilities
- Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable Return on Investment (ROI).
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
- Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience taking production-grade AI-driven solutions from conception to launch.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- Experience managing technical discovery sessions.
Skills
- Python
- AI-driven solutions
- AI systems architecture
- Cloud platforms (e.g., GCP)
- Data pipelines
- Vector databases
- RAG-like architectures
- Technical discovery sessions
- Agentic workflows
- Multi-agent systems
- Model Context Protocol (MCP) servers)
- Application Programming Interfaces (APIs)
- Evaluation pipelines
- Observability frameworks
- Reusable modules
- Product feature requests
- Google-grade development best practices
- LangGraph
- CrewAI
- ADK
- ReAct
- Self-reflection
- Hierarchical delegation
- Large Language Model (LLM) native metrics
- Tokens/sec
- Cost-per-request
- State management optimization
- Granular tracing
Experience Level
- 5 years of experience
Education Level
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
About the Company
- 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.