Top AI Jobs in Melbourne

As an AI Platform Engineer, you will build agent workflows and improve output quality, focusing on systems thinking and engineering standards.

As an AI Engineer, you will design AI-enabled workflows, teach teams to use these systems effectively, and improve processes while focusing on revenue operations.

As a Legal Solutions Analyst, you will implement AI tools in legal practices, working with stakeholders to improve legal service delivery through analysis and solution design.

The AI Business Development Manager drives AI growth with NCPs and enterprise customers by developing strategic partnerships, influencing decisions, and creating AI opportunities.

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.

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.

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 Principal Engineer will lead technical architecture in a smart energy platform, focusing on AI integration, full-stack development, and client advisory roles while ensuring project quality and scalability.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

The AI GTM Engineer will modernize lead funnels using AI tools, build internal AI agents for sales teams, and enhance sales workflows. Responsibilities include integrating AI into sales processes and ensuring successful agent adoption.

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

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

Lead the development of AI-powered learning experiences using large language models, working cross-functionally to create educational tools. Evaluate models, design prompts, and optimize learning outcomes for students and teachers.

The Staff Software Engineer will lead architectural decisions for generative AI systems, design scalable inference systems, and mentor engineers while collaborating closely with product and design teams.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

The AI Outcomes Manager will transform departmental operations using Glean's AI platform, engage with executives, conduct workshops, and enhance customer engagement.

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.

The Senior Site Reliability Engineer will support the AI Research team by ensuring infrastructure stability, overseeing production services on GCP using Kubernetes, and improving CI/CD pipelines while collaborating closely with researchers and engineers.

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

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

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

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 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.