Top AI Jobs in Sydney

The AI Engineer - FDE will develop GenAI solutions, manage production rollouts, and collaborate cross-functionally with multiple teams to shape AI product strategies and priorities.

As an AI Engineer, you will design, deploy, and manage AI-driven solutions improving efficiency while collaborating with engineering and business teams.

Lead AI R&D capability at ClickView, establish experimentation processes, optimize video production workflows, and implement AI-driven changes across teams.

The role involves delivering Data & AI solutions in marketing, leading client engagements, and developing strategies to enhance customer insights and experiences.

As a Forward Deployed AI Accelerator, you'll transform marketing workflows by implementing AI tools, coaching marketers, and scaling successful practices across teams.

The AI Deployment Engineer will collaborate with startups, optimizing AI systems, prototyping workflows, and enhancing product quality while providing valuable insights to research and product teams.

The Automation and AI Engineer role involves building workflow automations, designing AI solutions, collaborating with stakeholders, and maintaining AI systems for operational excellence.

Design, build, and deploy production-grade AI solutions (agents, RAG, MCP servers). Analyse business processes, integrate APIs and cloud platforms, establish prompt engineering and developer standards, manage projects, and upskill client teams.

The Senior Risk Analyst will provide risk and compliance advice, strengthen governance, oversee monitoring, and foster a strong risk culture with a focus on AI and data.

The Senior Product Manager is responsible for client relationship management, product strategy, roadmap development, and ensuring feature delivery in healthcare applications using League's platform.

The Generative AI Engineer will design, build, and deploy AI workflows on AWS, modernize systems, and collaborate with teams to enhance engineering and compliance processes.

As Head of AI, you'll lead Prezzee's AI transformation strategy, driving business impact through initiatives while managing partnerships and governance frameworks.

The AI Architect will design and deliver AI and data platforms using Microsoft Fabric for clients across APAC, focusing on stakeholder engagement and architectural standards.

The Gen AI Art Director will create and optimize digital assets for performance campaigns using generative AI, specifically the Pencil Pro platform, and collaborate with teams to deliver high-quality work.

The AI Deployment Engineer partners with customers to implement AI-enhanced development workflows using OpenAI Codex. Responsibilities include serving as a technical expert, building demos, leading workshops, and influencing product direction based on customer insights.

The Senior Backend Engineer will build and scale backend services for video AI infrastructure, develop APIs, optimize systems, and collaborate with teams on video model inference and operations.

As an AI Automation Intern, you will collaborate with leadership to create proof-of-value AI agents focusing on marketing automation and internal operations, delivering tangible results from the start.

The role involves conducting research in machine vision for deep visual understanding and multimodal learning, developing deep learning methods, and publishing research findings.

The Principal Data and AI Architect designs enterprise-grade data and AI architectures, leading pre-sales technical design, guiding clients on AI solutions, and managing integration strategies for Salesforce D360 and Agentforce.

Lead the Player Experience engineering team at Immutable, guiding them in building web3 game onboarding systems and enhancing user engagement.

The Product Manager will oversee AI-driven product experiences for legal workflows, collaborating with cross-functional teams to enhance user interactions with AI technologies, ensuring intuitive and trustworthy solutions.

The Senior Software Engineer will build AI-powered user experiences, develop frontend and backend services, and integrate AI capabilities into legal workflows, while mentoring engineers and ensuring strong engineering standards.

Design end-to-end AI experiences for consumer and enterprise contexts: research opportunity areas, prototype agent behaviour and personality, align visual and brand expression, collaborate with frontend and backend engineers, and build testable AI-driven product workflows focused on usability, trust, and adoption.

The AI Information Scientist designs and maintains data catalogues and metadata frameworks critical for AI system functionality, assessing and ensuring data quality and lineage.

The Customer Success Manager will operationalize Generative AI for marketing teams, designing workflows, embedding technology, and demonstrating ROI for enterprise clients.