Top AI Jobs in Melbourne

Lead the AI product team to innovate financial services, managing AI features and automation to enhance customer experience and efficiency.

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.

As a Senior Software Engineer, you will develop AI tools, support incident response, maintain infrastructure, and mentor junior engineers.

The Senior Digital Transformation Consultant will assess tech needs for non-profits, provide technology advice, lead capability building programs, and manage multiple projects.

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.

Manage and lead a team of engineers to develop AI-powered security tooling, deliver projects, and mentor junior team members.

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.

This role leads enterprise-scale AI and Data transformation programs, acting as a trusted advisor to senior executives, and shaping data strategies and governance frameworks.

Seeking a Staff Software Engineer to innovate and build products in a full-stack environment, focusing on AI integration and high-performance services for digital lending.

The Generative AI Engineer will design and implement bespoke AI solutions on Azure, ensuring operational excellence and client communication through effective demonstrations and stakeholder engagement.

The role involves building and maintaining back end services for a large language model, focusing on APIs, infrastructure, reliability, and system performance.

The AI Automation Engineer will design and implement AI-driven automation workflows using Microsoft technologies, optimize operations, and ensure compliance. Collaborating with IT and stakeholders, they'll mentor others and improve automation processes.

Lead the design and delivery of AI solutions, guiding junior engineers while managing full-stack development and ensuring secure production environments.

As a Senior AI Services Consultant, you will lead AI implementations, provide technical expertise, and drive customer adoption of Zendesk's AI solutions while ensuring project delivery and measurable outcomes.

The AI Services Consultant accelerates customer adoption of Zendesk's AI solutions, leading configurations and ensuring operational excellence while managing projects. They facilitate collaboration across teams to deliver measurable outcomes that enhance customer experiences.

The AI Researcher will design architectures, run experiments, evaluate large language models, and collaborate with ML engineers for model training and analysis.

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.

Build and maintain front end systems for Matilda's public product, focusing on user experience, performance, and reliable interactions.

As a Founding Engineer, you will shape the technical DNA of early-stage AI companies by tackling unsolved problems and influencing architecture and product direction.

Lead the engineering function focusing on AI/ML systems, managing a team to drive technical excellence, and ensuring integration with partner teams.

Lead Jetstar's data transformation, building capabilities in data access, analytics, and AI to enhance commercial decision-making and productivity.

As a Senior Applied AI Solution Engineer, you'll develop AI applications, consult with clients, lead projects, ensure ethical practices, and maintain AI solutions.

Design, build, and deploy AI applications using large language models. Involve client consultation, technical leadership, and quality assurance while ensuring ethical AI practices.

Lead and coordinate internal AI adoption by identifying high-impact use cases, owning AI initiative roadmaps, liaising between business and technical teams, embedding AI into transformation programs, ensuring governance and risk alignment, driving change management, and tracking value and benefits realization.