GenAI Forward-Deployed Engineer, Cloud AI

Google LLC; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Google LLC is seeking a GenAI Forward Deployed Engineer to embed with strategic accounts, bridging frontier AI products and production-grade realities. You will code, debug, and ship bespoke agentic solutions inside customer environments, acting as an innovator-builder with a founder’s mindset.

You will collaborate with Google Cloud's AI portfolio and Vertex AI, working across DeepMind engineering and research minds to address data readiness, state-management, and integration challenges at

Qualifications

• Bachelor's or equivalent in engineering/compsci or related field.
• 8 years in cloud or customer-facing tech roles.
• Experience shipping production AI on cloud platforms (GCP).
• Experience building vector/RAG data pipelines.
• Experience leading technical discovery sessions.

Responsibilities

• Develop complex AI apps transitioning from prototype to production workflows.
• Connect Google AI products with customer live infra (APIs, data silos, security).
• Create evaluation pipelines and observability for accuracy, safety, latency.
• Turn field patterns into reusable modules or feature requests.
• Co-build with customer engineers to ensure long‑term success and adoption.

Skills

8 years cloud experience

AI deployments on cloud (GCP)

Data pipelines with vectors & RAG

Discovery sessions leadership

Cross-functional collaboration

Problem framing for execs

LM native metrics & tracing

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in AI/CS (preferred)

Tools

LangGraph / CrewAI / ADK (frameworks)

Job description

Google LLC is seeking a GenAI Forward Deployed Engineer to embed with strategic accounts, bridging frontier AI products and production-grade realities. You will code, debug, and ship bespoke agentic solutions inside customer environments, acting as an innovator-builder with a founder’s mindset.

You will collaborate with Google Cloud's AI portfolio and Vertex AI, working across DeepMind engineering and research minds to address data readiness, state-management, and integration challenges at