Top AI Jobs in Melbourne

Lead the AI pre-sales team managing AI Architects and Engineers, oversee technical POCs, mentor team members, and partner with sales leadership for AI initiatives.

The AI Lead, Infrastructure + Energy will integrate and scale AI solutions, drive innovation, and align business objectives with AI strategy to maximize value. Responsibilities include leading AI strategy, fostering innovation, and developing capabilities across the organization.

The General Manager will lead business development, forge strategic partnerships, and drive growth in the renewable energy sector, focusing on battery storage solutions.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The Senior Digital Producer leads digital and creative projects, managing teams and client relations while ensuring project goals and quality standards are met.

The Forward Deployed AI Engineer will develop and launch generative AI applications, collaborating with customer teams to innovate and prototype AI-driven solutions.

The Reserve Engineer maintains and services robotic hardware, responds to failures at client sites, and ensures customer satisfaction. Responsibilities include learning hardware, communicating repairs, and assisting with deployment projects.

The AI Sales Specialist Lead will drive AI product growth in the APAC region, managing a sales team and directly engaging with customers to achieve sales targets. Responsibilities include developing strategies, mentoring staff, and building customer relationships to enhance business outcomes.

The Gen AI Architect will design, develop, and implement generative AI systems, focusing on scalability and reliability, while collaborating with various teams and mentoring others.

Lead the digital transformation as ICT Manager, overseeing enterprise applications and AI strategy, driving innovation and change across ACCIONA's platforms.

As a Forward Deployed Engineer, you'll lead AI transformation for strategic customers, integrating solutions to enhance customer experience through design, prototypes, and optimizations.

The Simulation and Test Engineer will develop testing infrastructure for AI systems, focusing on conversational AI, perception, and gesture behavior while ensuring quality through automated regression tests and CI/CD pipelines.

The AI Engineer will develop GenAI applications, oversee production rollouts, advise customers, present at conferences, and collaborate on product roadmaps.

The role involves developing frontend and backend prototypes while collaborating with teams, experimenting with technologies, and innovating solutions.

Lead the design and development of AI systems, ensuring they are production-ready. Oversee testing, maintenance, and collaborate with teams on technical design. Mentor junior team members.

Join Welo Data's contributor network to participate in remote AI projects such as annotation and evaluation based on your skills.

Lead design strategy for AI-enabled hiring automation products, fostering collaboration across teams and developing design talent while enhancing user experiences for hirers.

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

As an Azure Generative AI Consultant, you will develop AI solutions on Azure, design intelligent agents, and ensure operational excellence while engaging clients and showcasing value through demonstrations.

The Senior AI Product Manager will lead the strategy and execution of AI data-driven products, collaborating with cross-functional teams to deliver impactful solutions.

The Director, Digital & IT (ANZ) will lead technology strategy and AI adoption, advising leaders and clients while ensuring digital capabilities support business growth.

As a Machine Learning Engineer, you'll develop and evaluate models, build ML systems, and collaborate on generative AI features. You'll work with GPUs, maintain pipelines, and support system reliability while improving model performance.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

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

As an AI Researcher, design and prototype foundation model architectures, explore new training algorithms, run experiments, and collaborate with AI Engineers on large-scale systems.