Top AI Jobs in Melbourne

The AI Principal Technical Consultant will design and implement AI-powered solutions on the ServiceNow platform, bridging technical expertise with AI capabilities to enhance project delivery.

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 GTM Manager for AI will launch and scale monday.com's AI products in the APJ region, collaborating with various teams to drive adoption and value.

The Principal, Information Governance Advisor will drive business growth, manage high-impact engagements, and mentor junior consultants, focusing on information governance 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 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.

You will write and optimise GEO-optimised content for courses, ensuring compliance and accuracy, while collaborating with various teams for effective content delivery.

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

The role focuses on guiding clients towards data-driven and AI-enabled futures by designing strategic roadmaps, facilitating workshops, and enhancing data governance practices, while assessing mature capabilities.

The Senior Backend Engineer at Speechify will optimize product flows, ensure infrastructure scalability, and manage backend systems related to AI voice technology.

The Senior Engineer will develop AI systems, integrate data pipelines, support product solutions, and ensure features are user-centric and technically sound.

The Product Specialist will drive Workday Extend adoption by providing subject matter expertise, developing account strategies, and translating customer needs into strategic solutions, leveraging deep functional understanding of Workday.

As a Staff Data Engineer, you'll build advanced data solutions on AWS, focusing on Data Mesh and AI, while ensuring data governance and security.

Lead AI pilots for global customers, focusing on technical architecture, scope delivery, and aligning AI solutions with business outcomes. Manage stakeholder communication and interface with engineering for product feedback.

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.

As a Senior ML Engineer at Zendesk, you will develop and deploy ML systems, build benchmarking frameworks, and ensure reliable GenAI infrastructure.

Lead the AI Platform team, focusing on internal capabilities and customer experiences, while ensuring technical soundness and responsible AI governance.

Design, develop, and deploy scalable integrations in AI settings while mentoring engineers and shaping APIs for efficient data integration.

Join the TMT practice as a Senior Associate or Associate, focusing on cyber, data, and AI law, advising clients on regulatory issues and incident responses.

The AI Product Sales Specialist will drive sales in AI/ML for Snowflake, engaging with clients to understand their needs and optimize product usage, while achieving revenue targets and collaborating with cross-functional teams.

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

The Digital Copywriter at Blinq will produce high-performing, SEO-optimized content for various platforms to drive organic growth and engage customers.

As a Generative AI Engineer, you will develop bespoke AI solutions, implement RAG patterns, manage CI/CD workflows, and engage with clients.

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.