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.

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

The Business Development Manager will onboard new sellers, build relationships, conduct market research, negotiate contracts, and collaborate with internal teams.

Vanguard's Technology Graduate Program offers recent graduates hands-on experience in diverse IT projects, mentorship, and opportunities in cloud systems and AI. Participants rotate through various divisions, gaining skills in secure, scalable solutions within a collaborative environment, culminating in a permanent role post-program.

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

The Clinical Development Analyst specializes in developing and managing Computer-Assisted Coding for healthcare, ensuring alignment with coding standards and compliance, and providing clinical expertise in coding development.

The role involves deploying and supporting CrowdStrike's AI capabilities for threat detection and response, along with mentoring and customer engagement.

As Head of Data & AI, you will lead data governance, drive Snowflake adoption, establish AI governance, and manage data operations to enhance analytics and AI capabilities.

The Content Solutions Engineer will act as a subject matter expert in AI and Machine Translation, providing pre-sales support, technical consulting, and collaborating on solution architecture to help clients optimize globalization processes.

Kaluza is seeking to connect with talented individuals met at BREAKIT AI Day for future job opportunities in various roles including engineering and product.

This role involves owning and executing the AI-enabled marketing strategy for Centric, planning campaigns, creating content, and driving growth outcomes.

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 Support Operations Analyst, AI & Automation will optimize customer support workflows, leverage AI tools for automation, and collaborate cross-functionally to enhance operational efficacy.

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 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.

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 Engineer will develop AI systems for Culture Amp, transforming research into production applications while ensuring system design meets user needs and fairness standards.

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.

Lead a cross-functional squad to deliver AI-powered engineering products, manage roadmaps and stakeholder alignment, and improve developer productivity through innovative tools.

As a Staff Software Engineer, you'll design AI-integrated systems, enhance developer workflows, implement security measures, and mentor engineers while ensuring compliance and efficiency in software delivery.

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

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

Design and deliver production-grade generative AI platforms on Azure, defining reference architectures, data pipelines, model orchestration, deployment (AKS/Containers/Functions), CI/CD and MLOps, security and governance controls, observability, and mentor teams to ensure enterprise-scale, compliant GenAI solutions.

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

As an AI Research Engineer, develop reinforcement learning algorithms, optimize decision-making, debug and enhance learning pipelines, and integrate models into production systems.