Top AI Jobs in Melbourne

As a Senior AI Engineer, you will design and build backend services for AI-driven products, ensuring performance optimization, security, and reliability while collaborating with other teams.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The Lead Data & AI Architect will design complex AI architectures, act as a trusted advisor on AI/Data strategy, lead Proof of Concepts, and influence product design while collaborating with executive and technical teams.

Design and operate advanced AI infrastructure, focusing on GPU clusters and large-scale systems. Collaborate with researchers and develop architectural solutions from first principles.

Lead AI development projects, focusing on generative AI solutions and cloud-native engineering. Collaborate with teams to deliver innovative software solutions.

Design and build AI-powered products and integrations, translating business requirements into technical solutions while collaborating across teams and utilizing AI-assisted tools.

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 Lead Automation Engineer will architect internal efficiency by automating business processes, designing intelligent agents, defining roadmaps, and mentoring a team, while collaborating with business units to uncover automation opportunities.

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

The Senior Solutions Engineer engages with sales teams to align AI solutions with client needs, leads demonstrations, manages solution design, and ensures compliance and security standards. They provide technical support to customers, facilitating AI adoption and value creation.

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.

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.

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.

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.

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.

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

As an AI Product Manager for Personalisation, you'll define product ambition, coordinate with engineering teams, and lead AI-driven product development. You will focus on designing intelligent content systems and personalisation engines tailored to user experiences, while engaging with partners to ensure successful integration and execution of product strategies.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.