Top AI Jobs in Melbourne

The Applied AI Engineer will deploy AI agents for customers, collaborate with sales and engineering, integrate voice AI, and validate agent performance.

The Senior DevOps AI Engineer will maintain infrastructure in GCP/AWS, lead DevOps tasks, and develop AI-driven operational tools while collaborating with engineering and support teams.

As an AI-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

The AI Engineer will design, develop, and deploy AI/ML solutions using AWS and/or Azure, build data pipelines, and maintain ML workflows while collaborating with teams to address business challenges.

As an Engineering Manager, you'll lead a team developing AI-powered help platform capabilities, focusing on scalable backend systems and engineering quality while driving collaboration across functional teams.

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 Business Intelligence Developer will work with data to build and maintain ETL pipelines, optimize BI solutions, and integrate AI tools, ensuring efficient and clean data management.

The role involves designing multi-platform CX and CCaaS solutions, integrating AI capabilities, and providing strategic insights to enhance customer service delivery.

Lead organic search and AI visibility strategy for multiple partner websites, driving SEO performance, reporting, and growth in leads and enrolments.

Develop next-generation photonic devices utilizing AI for design and optimization, applying computational methods and machine learning for integrated photonic structures and software tools.

The Director of AI Engineering will lead AI capabilities, including development and evaluation of AI systems, while managing a team and collaborating with cross-functional departments.

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.

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 a Senior Backend Engineer at Canva AI, you'll drive backend architecture, implement critical code, mentor engineers, and collaborate with teams to enhance the platform's scalability and integration capabilities.

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 Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

As a Senior AI Engineer, you will develop and implement AI capabilities to enhance business processes and customer experiences, collaborating with teams to deliver scalable solutions.

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

The Product Analyst will identify growth opportunities, evaluate product changes through A/B testing, build dashboards, and communicate insights for data-driven decisions.

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 Solution Strategist role involves collaborating with product managers and engineers to develop conversational AI agents, driving customer success and supporting AI initiatives. The position requires strategic thinking, project management, and skills in aligning technical and business teams, while focusing on agent design and performance analytics.

The Mid/Senior AI Cinematic Video Editor will create narrative-driven video content using AI tools, manage production workflows, and ensure visual cohesion.