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Enterprise architect

Melbourne
Opus Recruitment Solutions
Architect
Posted: 4 June
The role

GCP AI Architect - Hybrid 3 days pw in office - 6 Month Contract

$1200 - $1300pd inclusive of super

Melbourne

I am exclusively partnered with a leading consultancy who are looking for a GCP AI Architect to start immediately on a 6 month contract.

You will be guiding AI enablement and architecting the solution of a greenfield implementation of Google Enterprise Agentic Platform (Previously known as Vertex) enabling the business to use Gen AI, Agentic AI, RAG/ NLP.

Looking for someone to start immediately, interviews will be one stage and begin next week with the end client.

What You Will Be Doing:

  • Architect end‑to‑end AI and ML solutions using Google ADK, Agent Studio, Agent Garden.
  • Design scalable, secure, and cost‑optimised architectures leveraging GCP services such as BigQuery, Dataflow.
  • Lead the development of Generative AI and LLM‑based applications using Gemini Agentic Platform, Agent Garden models, and custom model fine‑tuning.
  • Establish and implement MLOps frameworks using Cloud Build, Artifact Registry, and CI/CD best practices.
  • Provide technical leadership, governance, and architectural guidance across multiple AI initiatives.
  • Ensure compliance with GCP security, IAM, data governance, and enterprise architecture standards.
  • Evaluate emerging GCP AI capabilities and drive innovation across the organisation.

What You Bring:

  • 5 years experience as a Cloud Architect, AI/ML Architect, or Senior ML Engineer specialising in Google Cloud Platform.
  • Deep expertise with Vertex AI, including training, tuning, deploying, and monitoring ML models.
  • Strong understanding of Generative AI, LLMs, embeddings, vector search, and retrieval‑augmented generation (RAG).
  • Hands‑on experience with BigQuery ML, TensorFlow, PyTorch, or scikit‑learn.
  • Solid knowledge of GCP networking, IAM, VPC design, and cloud security best practices.
  • Strong Python skills and familiarity with containerisation (Docker) and serverless compute (Cloud Run).
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