Google Cloud Engineer - AI Solutions

About the role

Accenture's Google Business Group and Gemini Enterprise Business Group in the UK are seeking a Google Cloud Engineer (Specialist/Consultant, mid-level, full time) in London. The team architects and implements cloud-native solutions using Google Cloud and Gemini Enterprise for some of the UK's largest organisations. Offers are subject to satisfactory BPSS and SC security clearance.

Key responsibilities

• Create and deploy agentic and AI solution components using the Gemini Enterprise Agent Platform
• Build Google Cloud-native applications, data pipelines and integrations based on architecture patterns
• Integrate Gemini Enterprise capabilities into enterprise workflows and client-facing applications
• Implement foundational Google Cloud platform components to support secure, enterprise-grade AI deployments
• Take part in design discussions and architecture reviews, ensuring alignment with standards, security policies and non-functional requirements
• Translate client requirements into well-architected, production-ready solutions

Required profile

• At least one Google Cloud Professional certification
• Hands-on experience in enterprise technology delivery across software engineering, cloud development or data engineering
• Hands-on experience building and deploying AI solutions with Gemini Enterprise, Gemini Enterprise Agent Platform (previously Vertex) or ADK, including multi-agent orchestration
• Ability to write technical documentation such as architecture diagrams, design specifications and operational runbooks
• Confident communicator who can explain complex AI and cloud concepts to technical and non-technical audiences

Required skills

• Wide expertise in Google Cloud products such as GKE, BigQuery, Cloud Run and Cloud Storage
• Familiarity with Infrastructure as Code (e.g. Terraform), CI/CD pipelines and scripting
• Cloud security knowledge (IAM, firewalls, encryption, Agent Gateway policy)
• Agentic AI concepts such as RAG, tool use, agent orchestration, memory and token management
• Site reliability engineering or IT production operations experience is a strong advantage