Senior Gemini Platform Engineer

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at accenture.com . Role   Focus   You will lead the technical architecture and delivery of enterprise-grade AI platforms. Your mission is to move clients from "Experimentation" to "Production" by architecting high-performance, secure, and cost-optimized environments for Gemini models.   You will   be responsible   for   architecting   and implement ing   Google cloud, Gemini Enterprise, Vertex   AI   and other Google   specific technology focused solutions for Accenture’s clients.    Key Responsibilities & Toolset Proficiency   Generative AI & Model Management   Gemini 1.5 Pro/Flash & Model Garden:   Deploy and fine-tune Gemini models for specialized tasks (reasoning, long-context analysis, multimodal processing).   Vertex AI Studio:   Manage the lifecycle of prompts and model versions, ensuring   optimal   performance across different enterprise use cases.   Orchestration & Agentic Logic   Vertex AI Agent Builder:   Build "System-of-Action" agents using the native Google stack to minimize latency and maximize security.   Multi-Agent Systems :   Architect complex, stateful agentic workflows,   utilizing   Google’s   solutions and other relevant industry leading solutions   to solve complex business use-cases spanning multiple industries.   Agent Development Kit (ADK):   Standardize the creation of agents to ensure portability and consistency across the enterprise .   Data & Vector Infrastructure   BigQuery   (Vector Search):   Integrate structured business data with unstructured vector embeddings directly within   BigQuery   to power grounded, real-time AI responses.   Vertex AI Search & Conversation:   Implement RAG (Retrieval-Augmented Generation) at scale, ensuring agents have access to the most recent and relevant enterprise knowledge.   Cloud Architecture & Engineering   Microservices (Cloud Run/GKE):   Containerize and scale agentic applications using GKE for high-performance workloads or Cloud Run for serverless efficiency.   Event-Driven Design (Pub/Sub):   Build asynchronous, resilient AI pipelines that trigger actions across the enterprise based on real-time data events.   Development &   MLOps   Python & API Design:   Craft robust, clean, and performant Python code and design secure APIs that connect Gemini to legacy systems (ServiceNow, SAP, Oracle).   CI/CD for ML ( MLOps ):   Implement automated testing, deployment, and monitoring pipelines to manage model drift and ensure reliability.   Productivity Tools:   Leverage   Gemini Code Assist ,   Gemini CLI , and   Antigravity   to accelerate the   development   lifecycle and automate repetitive infrastructure tasks.          Technical Requirements   Platform Mastery:   Advanced experience with the   Vertex AI   suite, including Model Garden and Agent Builder.   Experience with Gemini CLI, Code Assist, Agent development   kit   and the future breadth of Google development tools.   Engineering Excellence:   Proven   track record   of   designing and deploying   AI and Agentic frameworks, architecting agentic workflows   compliant with responsible AI   guideline . Sound knowledge of Google cloud solutions including Google Kubernetes engine and other relevant tools.   MLOps   Discipline:   Hands-on experience with   Vertex AI Pipelines   or Kubeflow for managing   production   AI lifecycles.   Data Savvy:   Proficiency   in   SQL/ BigQuery   and vector database management.   Security Mindset:   Deep understanding of Google Cloud   VPC Service Controls , IAM,   RAI   and enterprise security protocols for AI.   Qualifications   5 + years in   cloud   engineering,   Machine   learning   and AI development .   3 + years specifically focused on AI/ML implementation   and deploying agentic systems   Proven   track record   of delivering end-to-end   AI   solutions for   enterprise clients.   Why this role?   In this role, you   aren't   just an "AI developer"—you are a   Reinvention Engineer . You are building the "Enterprise AI   foundation ” for our clients across business verticals.   You will be the technical lead who ensures that   when our clients   deploy   multi-agent systems , the infrastructure is as robust, secure, and performant as their core banking or ERP systems.   #LI_GM  #LI-GM About Accenture Accenture 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. Visit us at   www.accenture.com   Equal Employment Opportunity Statement for Australia: At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.  As part of our talent strategy, we hire and develop people who have different backgrounds, different perspectives and different