# Google Cloud EngineerAccenture Federal ServicesLocation not specifiedFull-timeAI tools:GeminiUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis role builds Google Cloud applications, data pipelines, and integrations, including agentic AI components using Gemini Enterprise. You’ll join Accenture’s Google and Gemini Enterprise business groups, translating client needs into secure, production-ready cloud and AI solutions.* Full-time* On-site* Specialist/Consultant### Skills and expertiseGoogle CloudGemini Enterprise Agent PlatformGemini EnterpriseADKGKEBigQueryTerraformCI/CD### Key responsibilities* Build and deploy agentic AI components with Gemini Enterprise Agent Platform.* Engineer Google Cloud applications, data pipelines, integrations, and foundational platform components.* Translate client needs into secure production solutions and contribute to design and architecture reviews.## How this job comparesCompared with 362 open mid-level infrastructure jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 362 open mid-level infrastructure jobs at 144 companies.Remote work: This job is on site. 57 of the 362 mid-level infrastructure jobs (16%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. Hands-on creation and deployment of agentic AI components and integration of Gemini Enterprise into workflows are core responsibilities.## Full descriptionRole: Google Cloud Engineer/SpecialistLocation: LondonCareer Level: Specialist/ConsultantPlease Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance, which requires 5 years continuous UK address history at the point of application.Our TeamWe are seeking Google Cloud engineers to join the Accenture Google Business Group and Accenture Gemini Enterprise Business Group in the UK.Our teams architect and implement intelligent, cloud-native solutions that harness the full power of Google Cloud and Gemini Enterprise for some of the UK’s largest and most strategically important organisations. We work at the cutting edge of cloud architecture, AI, and data engineering to build scalable platforms and agentic that drive real business transformation.Google Cloud Engineer Responsibilities• Hands-on creation and deployment of agentic and AI solution components using Gemini Enterprise Agent Platform• Engineer 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• Participate in design discussions and architecture reviews, ensuring implementations align with standards, security policies, and non-functional requirements• Ensure client requirements are translated into well-architected, production-ready solutionsWe are looking for• At least one Google Cloud Professional certification• Expertise in a wide range of Google Cloud products and services (e.g. GKE, BigQuery, Cloud Run, Cloud Storage, etc.)• Hands-on experience in enterprise technology delivery spanning software engineering, cloud development, or data engineering• Hands-on experience building and deploying AI solutions using Gemini Enterprise, Gemini Enterprise Agent Platform (previously Vertex) or ADK, including multi-agent orchestration• Ability to create comprehensive technical documentation, including architecture diagrams, design specifications, and operational runbooks• Familiarity with Infrastructure as Code (e.g. Terraform), CI/CD pipelines and scripting• Confident communicator able to explain complex AI and cloud concepts clearly to technical and non-technical stakeholder audiencesSet yourself apart• Strong understanding of cloud security best practices and tools (e.g. Identity and Access Management, firewalls, encryption, Agent Gateway policy configuration)• Familiarity with agentic AI concepts including RAG, tool use, agent orchestration, memory management, token management, and grounding with enterprise data• Experience in site reliability engineering or IT production systems operations including live incident troubleshooting and resolution• Demonstrable examples of technical innovation in engineering automation, AI solution design, or delivery model improvementsAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. #J-18808-Ljbffr
