Top AI Jobs in Sydney

The AI Integration Manager will implement AI solutions to enhance operational efficiency, develop automated workflows, and achieve measurable outcomes across the business.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

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

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.

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.

Lead development and governance of AirTrunk's liquid cooling product for hyperscale data centres. Manage feasibility studies, reference design updates, stakeholder interfacing, technical storytelling, and integration of new technologies into the data centre product while accounting for commercial, operational and legal implications.

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.

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

Lead AI development projects, focusing on generative AI solutions and cloud-native engineering. Collaborate with teams to deliver innovative software solutions.

The Senior AI Engineer will design and build production-grade AI systems, integrate AI capabilities into enterprise platforms, and contribute to internal technical standards and tooling.

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.

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 AI Data Governance Lead will design and implement governance frameworks for data and AI, ensuring compliance and enabling safe AI use across organizations while mentoring teams and engaging senior stakeholders.

The Senior DevOps Engineer will optimize cloud infrastructure, manage CI/CD pipelines, and enhance AI delivery practices, ensuring high-quality outcomes in enterprise environments.

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