Top AI Jobs in Melbourne

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.

Design and document scalable data warehouse and analytics assets. Translate stakeholder requirements into datamarts, data feeds and ETL patterns. Collaborate with engineers to implement and validate pipelines, lead data quality investigations, and contribute to governance, discoverability and documentation to support analytics and AI teams.

Lead AI pilots for global customers, focusing on technical architecture, scope delivery, and aligning AI solutions with business outcomes. Manage stakeholder communication and interface with engineering for product feedback.

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 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.

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 Technical Pre-sales Consultant engages with clients to deliver AI and Document Management solutions, conducting demos and workshops while supporting sales efforts.

As a Forward Deployed Engineer, you'll lead AI transformation for strategic customers, integrating solutions to enhance customer experience through design, prototypes, and optimizations.

Lead product strategy and delivery for personalization systems: define problems and OKRs, partner with Data Science and Engineering, design experiments, ship AI-driven models and services, and coordinate stakeholder integration across squads.

The Associate AI Solutions Engineer - UX will work on the machine learning lifecycle, develop AI products, and enhance user experiences through collaborative efforts and prototyping.

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

The Principal AI Platform Engineer will architect and maintain AI systems and infrastructure, drive technical roadmaps, and implement DevSecOps practices to enhance data security and performance.

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

You will write and optimise GEO-optimised content for courses, ensuring compliance and accuracy, while collaborating with various teams for effective content 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.

Lead the AI Platform team, focusing on internal capabilities and customer experiences, while ensuring technical soundness and responsible AI governance.

Lead the design and architecture of AI-enabled experiences at SEEK, establishing standards and frameworks while mentoring solution architects and influencing technology strategies.

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

The Senior AI Applied Engineer will design and deliver AI-powered features, improve development tools, and work collaboratively across teams to innovate products.