Top AI Jobs in Melbourne

Lead client engagements to design and implement practical AI governance frameworks, assess AI use cases for risk and compliance, embed governance into AI solution design, facilitate stakeholder workshops, and develop governance artefacts to enable responsible, scalable AI adoption.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

As an AI Consulting Solutions Engineer, you'll lead pre-sales efforts for Netskope's AI Security products, assist sales teams, engage customers, and collaborate with product management.

Design and operate advanced AI infrastructure, focusing on GPU clusters and large-scale systems. Collaborate with researchers and develop architectural solutions from first principles.

The role involves building and maintaining back end services for a large language model, focusing on APIs, infrastructure, reliability, and system performance.

The AI DevOps Engineer will design, deploy, and operate AI platforms, primarily using AWS and focusing on optimizing workloads, orchestrating workflows, and integrating AI services while ensuring security and cost-effectiveness.

As Founding Customer Success Manager for APAC, you will enhance customer experiences and engagement, manage complex relationships, and build successful processes in a new market.

Build production AI agents, LLM apps, RAG and retrieval-based systems, tool-calling and automations for fintech workflows (onboarding, KYC, risk, CRM). Ship, evaluate, and improve reliable AI-enabled systems with product and engineering teams, addressing latency, cost, security and compliance.

Build, deploy and operate AI automations and agentic workflows for the marketing function. Design integrations, data flows and observability, embed brand/compliance guardrails, run production campaign pipelines, and upskill the marketing team with shared prompts and workflows.

Design and ship a 14-domain skills taxonomy and SDK/CLI tooling, operate the MCP server, integrate agent protocols, improve LLM grounding for crypto, run developer hackathons, and produce technical content to grow the ecosystem.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.

Define safety, usability, and performance metrics for AI and robotic products; translate VLA and agentic RAG breakthroughs into customer value; engage enterprise adopters for feedback; lead cross-functional teams; own product roadmap and delivery for agentic and robotic deployments.

Design, deploy, and maintain MLOps infrastructure: manage model registries, continuous training loops, and A/B testing. Deploy agentic systems as scalable microservices on Kubernetes and build observability dashboards tracking token usage, latency, and agent reasoning.

Develop and train foundation models for robotics, align text-based reasoning with low-level control policies, design and run zero-shot generalization experiments, collaborate with interdisciplinary teams, and present research findings at conferences.

Design and implement multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows.

Optimize and compress large language and vision models for on-device inference. Develop distillation and hardware-specific compilation pipelines, deploy models to edge devices, and benchmark performance across NPU/GPU architectures to ensure efficient on-device operation.

Design and implement HRI systems: build intent-recognition models from gaze, gesture, and voice; create socially aware navigation algorithms; and design visual and auditory robot feedback and interfaces. Run user studies and prototype AI-driven voice and visual interfaces to validate interaction paradigms.

Own end-to-end Instagram Reels production: ideation, scripting, editing, and delivery. Use AI tools to support ideation and production, test formats, optimize for retention, and stay on top of short-form video trends to grow international audiences.

Independent full-cycle recruiter managing sourcing, client engagement, offer negotiation, and placements using AI-driven tools. Acts as commercial advisor, provides market insights, and maintains self-directed billing and activity in a results-only, remote environment.

Perform adversarial testing and red-teaming on large language and multimodal models, implement runtime guardrails and filtering, and help develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployment.

Design and optimize multimodal AI systems integrating vision and audio models. Improve voice-to-voice streaming latency, embed vision encoders and audio-native models into agent reasoning, and architect multimodal RAG systems for retrieving insights from videos and PDFs.

Lead orchestration and optimization of large-scale LLM pretraining across 1,000+ GPUs. Manage distributed training with PyTorch/DeepSpeed/Megatron-LM, tune networking and memory (InfiniBand/RDMA), and implement checkpointing and robust failure recovery for long-running jobs.

Embed with enterprise clients to design, build and operationalize agentic AI solutions in production: architecture, production code, retrieval pipelines, agent orchestration, governance, observability, enterprise integration, cutover, handover and escalation support while producing reusable patterns and accelerators.

Develop and deploy AI models for tech and wellness applications, integrate solutions, analyze data, and ensure ethical AI practices.