Senior Gemini Platform Engineer: Enterprise AI Architect

Accenture Global; Sydney; On-site; AUD 180,000 - 280,000; Full time

Job summary

Accenture seeks a senior AI Cloud Architect to lead the technical design and delivery of enterprise AI platforms on Google Cloud. You will move clients from experimentation to production, architecting secure, scalable environments for Gemini models and related Vertex AI services.

You will manage agentic workflows, model lifecycles, and integration with enterprise systems, ensuring robust performance, security, and cost optimization across diverse industries.

Qualifications

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

Responsibilities

• Lead the technical architecture and delivery of enterprise-grade AI platforms.
• Move clients from experimentation to production by architecting secure, cost-optimized environments for Gemini models.
• Architect and implement Google Cloud, Gemini Enterprise, Vertex AI and related Google tech solutions for clients.
• Oversee lifecycle management of prompts, model versions, and RAG pipelines at enterprise scale.
• Build and manage multi-agent systems and agent development kits for portability and consistency.

Skills

Gemini 1.5 Pro/Flash

Vertex AI Studio

Vertex AI

Gemini CLI

Agent Builder

BigQuery Vector Search

Vertex AI Search

Pub/Sub

GKE

Python API Design

MLOps

CI/CD for ML

Gemini Code Assist

Gemini CLI

Antigravity

Tools

Google Cloud

Gemini Enterprise

Vertex AI

Kubernetes (GKE)

Vertex AI Pipelines

Kubeflow

SQL/BigQuery

Job description

Accenture seeks a senior AI Cloud Architect to lead the technical design and delivery of enterprise AI platforms on Google Cloud. You will move clients from experimentation to production, architecting secure, scalable environments for Gemini models and related Vertex AI services.

You will manage agentic workflows, model lifecycles, and integration with enterprise systems, ensuring robust performance, security, and cost optimization across diverse industries.