AI Engineering Jobs in Australia
There are 326 open AI Engineering jobs in Australia on freehire right now. 91 of them were posted recently. The skills employers ask for most often are ai, agentic-ai and cloud.
Most requested skills
- ai 72%
- agentic-ai 38%
- cloud 33%
- python 32%
- machine-learning 30%
- llm 29%
- rag 25%
- api 24%
How the work is done
- Hybrid 51 · 16%
- Onsite 20 · 6%
- Remote 10 · 3%
Visa sponsorship offered in 42% of the 31 postings that state a position on it.
Seniority
- Senior 112
- Lead 28
- Principal 18
- Staff 10
- C-level 6
- Intern 3
Who is hiring
- 1000+ employees 53
- 51-200 employees 13
- 501-1000 employees 11
- 11-50 employees 5
- 201-500 employees 4
Senior AI Engineer
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Lead AI Engineer
Lead AI Engineer designs and implements AI solutions to optimize project delivery, mentors engineers, and integrates ML models into operations.
Senior AI Engineer
Build and deploy AI-powered applications, copilots, and automations using Microsoft and AWS AI services to improve business efficiency and customer experience.
Senior Graph AI Engineer: Knowledge Graph & Data Lineage
Builds and maintains knowledge graphs and graph-based AI systems using Neo4j or Amazon Neptune to power data governance, lineage, and generative AI in enterprise environments.
AI Engineer
Build and deploy enterprise-grade AI/LLM solutions using Snowflake, dbt Cloud, and Python, focusing on RAG, conversational AI, and MLOps pipelines for a large pharmacy retailer.
AI Engineer
Build and deploy AI/ML models to automate workflows and improve efficiency for client projects using Python, TensorFlow, and PyTorch.
Senior AI Engineer — Agentic AI (Azure AI Foundry / Databricks)
Build and ship production-grade agentic AI systems on Azure AI Foundry and Databricks for an Australian insurer, owning architecture, pipelines, orchestration, and stakeholder communication.
GCP AI Engineer
Design and deploy autonomous AI agents on GCP’s Vertex AI, using Gemini models, RAG, and agentic frameworks to automate enterprise workflows.
Senior AI Engineer, AI AcceleratorHybrid
Design and implement AI solutions to enhance a large retail ecosystem, using Python, TensorFlow/PyTorch, and cloud platforms.
AI Engineer: Build AI Solutions for Retail
Design and scale AI solutions for retail using cloud tech, ML, and generative AI, collaborating with teams to deliver commercial impact.
AI Engineer: Build Scalable, Business-Impact AI
Design and scale AI-enabled products, partnering with teams to deliver measurable business outcomes using modern cloud tech, ML, and generative AI.
AI Engineer
Build and deliver practical AI agents and workflows for enterprise clients, turning business problems into measurable solutions using platforms like Foundry and Bedrock.
AI Automation Engineer
Design and deploy AI-driven automation for trading workflows, integrating LLMs and RPA tools with legacy banking systems to streamline operations and ensure compliance.
Senior AI Engineer - Applied AI
Build production-grade agentic AI systems that analyze workplace data (surveys, reviews, goals) to power HR features like feedback and performance insights using Python, React, and graph/RAG techniques.
AI Engineer
Build and validate AI prototypes for enterprise clients, focusing on generative AI and agentic systems to solve business challenges through rapid experimentation.
Senior AI Automation Engineer – Digital
Build and deploy production-grade AI agents and automation pipelines for a global fashion retailer, focusing on e-commerce workflows, RAG, and governed AI rollouts with evaluation and monitoring.
AI Engineer
Build and validate AI prototypes (summarisation, forecasting) using LLMs and Agentic AI for enterprise clients, assessing feasibility and ROI before full-scale deployment.
Senior AI Automation Engineer: Build Production-Grade AI for Retail
Senior AI Engineer builds and deploys production-grade AI agents for retail e-commerce, focusing on agent orchestration, RAG, and scalable pipelines with measurable business impact.
Applied AI Engineer — Prototyping Generative AI Use Cases
Prototypes generative AI and ML solutions for client projects, assessing feasibility and ROI through proofs-of-concept while collaborating with cross-functional teams.