Top AI Jobs in Melbourne

The Engineering Manager will lead a team to develop AI-powered security tools, manage resource allocation, mentor engineers, and build infrastructure for a high-growth start-up.

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 Lead Software Engineer will execute software solutions, develop high-quality code, enhance operational stability, and lead technology evaluations while fostering a diverse team culture.

As a Senior Software Engineer focused on AI tools, you will develop applications, automate processes, and mentor junior engineers while ensuring security and efficiency in a high-growth environment.

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 Accenture Tech Bootcamp in Melbourne is a four-day immersive program for recent STEM graduates to develop technology skills, network, and solve real-world problems.

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.

Seeking senior technology leaders for advisory roles on AI product decisions, requiring expertise in AI/ML at scale, system design, and producing decision-ready artifacts.

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.

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

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.

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.

This leadership role drives strategic data engagement and AI adoption, enhancing data literacy, and fostering collaboration across business units in QBE's AUSPAC division.

The AI and Digital Orchestration Director leads strategic engagements to drive AI adoption, influencing sales strategies and collaborating with account teams.

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.

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 AI Solutions Engineer will own AI projects end-to-end, performing data analysis, developing ETL pipelines, and collaborating on model training and validation using cloud platforms.

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

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

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

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

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.

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.