Top AI Jobs in Melbourne

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

The AI Deployment Strategist will lead AI adoption for customers, collaborating with executives to design roadmaps, deploy solutions, and ensure customer success and expansion opportunities.

The role involves embedding with client teams to improve workflows using AI, create reusable assets, and uplift team capabilities in AI adoption. Responsibilities include redesigning workflows, building custom tools, and providing coaching to enhance productivity and adoption.

As a Strategy Consultant, you'll lead engagements on AI and emerging technologies, shaping client propositions and managing cross-functional teams through ambiguous projects.

The Senior Legal Counsel will work closely with AI and Engineering teams, translating legal complexities into practical solutions, ensuring compliance with AI regulations, and advising on AI-related legal strategies.

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

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Design and implement backend AI systems centered on LLMs and agentic workflows. Build AI agent orchestration (model/tool calling, multi-step reasoning, state management, error handling), integrate models, RAG, and inference services, optimize for high concurrency (streaming responses, async scheduling, caching, cost control), and collaborate with product, frontend, algorithm, and platform teams to deliver scalable AI capabilities.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

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

As a Customer Success Manager, you'll enhance customer experience, drive product adoption, manage portfolios, and provide strategic recommendations to maximize business outcomes.

The AI Solution Specialist drives the commercial success of Red Hat AI in ANZ by managing sales strategies, providing technical insights, and assisting enterprises in AI deployment.

Design and implement LLM-powered AI pipelines and multi-agent chatbot systems, including architecture, integration, and cross-functional collaboration.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Seeking a Senior Full-Stack Mobile Developer to lead system architecture and development for AI-driven mobile applications, focusing on NLP and scalable systems.

Seeking an AI Automation Engineer to design and deploy automation solutions using low-code tools, optimize workflows, and scale microservices in cloud environments, while collaborating with clients and teams.

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

The Software Engineer in Test III will develop and execute automated tests, maintain testing tools, analyze defects, and ensure product testability within TraceLink's software solutions.

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.

The Senior AI Engineer will design AI systems, develop machine learning applications, contribute to AI production processes, and collaborate with teams to enhance product efficiency.

The AI Software Engineer will develop and maintain AI software systems for voice and conversational AI, improve system performance, and ensure quality metrics across the stack, while working on edge hardware environments in real-time.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.