Our client is a global technology company.
As a GenAI Forward Deployed Engineer (FDE) at our client, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. 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. Your role is designed for high-agency engineers with a founder's mindset. 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, by embedding with strategic 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 our client's future product roadmap.It's an exciting time to join our client's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging our client'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 its AI research lab'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.
Minimum qualifications: Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience in cloud computing or a technical customer-facing role.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., our 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.
Experience leading technical discovery sessions.
Preferred qualifications: Master's degree or PhD in Artificial Intelligence, Computer Science, or a related technical field.
Experience implementing multi-agen...
Staff Forward Deployed Engineer in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
