Senior Gemini Platform Engineer

Accenture Global

Brisbane

In loco

AUD 180.000 - 240.000

Tempo pieno

2 giorni fa
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Descrizione del lavoro

Accenture seeks a technical architect to lead the delivery of enterprise-grade AI platforms. You will move clients from experimentation to production by designing high-performance, secure, and cost-optimized environments for Gemini models and Google Cloud solutions.

You will oversee Gemini Enterprise, Vertex AI, and related Google tools across various industries. The role requires deep experience in cloud engineering, AI/ML deployment, and building scalable agentic workflows, with a focus on

Competenze

  • 5+ years in cloud engineering, ML and AI development.
  • 3+ years deploying agentic systems.
  • Proven track record delivering end-to-end AI solutions for enterprise clients.

Mansioni

  • Lead the technical architecture and delivery of enterprise-grade AI platforms.
  • Move clients from Experimentation to Production by architecting secure, scalable environments.
  • Architect and implement Google Cloud Gemini Enterprise, Vertex AI and related solutions for clients.
  • Develop and manage Gemini models, agentic workflows and multi-agent systems.

Conoscenze

Cloud engineering
AI/ML implementation
GCP / Vertex AI
Security & IAM
BigQuery

Formazione

Bachelor's degree in CS/CE

Strumenti

Gemini CLI
Vertex AI Studio
GKE / Cloud Run
BigQuery
Kubeflow

Descrizione del lavoro

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 implementing 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.

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 lived experiences. These differences ensure that we have and attract the cognitive diversity to deliver a variety of perspectives, observations and insights which are essential to drive the innovation needed to reinvent, and we hold our leaders accountable for ensuring we have the most innovative and talented people in our industry. We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement

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