Top AI Jobs in Melbourne

The AI Principal Technical Consultant will design and implement AI-powered solutions on the ServiceNow platform, bridging technical expertise with AI capabilities to enhance project delivery.

Lead the AI pre-sales team managing AI Architects and Engineers, oversee technical POCs, mentor team members, and partner with sales leadership for AI initiatives.

The GTM Manager for AI will launch and scale monday.com's AI products in the APJ region, collaborating with various teams to drive adoption and value.

The Principal, Information Governance Advisor will drive business growth, manage high-impact engagements, and mentor junior consultants, focusing on information governance solutions.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The Senior Digital Producer leads digital and creative projects, managing teams and client relations while ensuring project goals and quality standards are met.

The Strategy Analyst in Data & AI performs business analyses, assesses AI maturity, identifies use cases, and collaborates on strategy roadmaps and value cases.

As a Staff Software Engineer, you'll lead AI-powered engineering efforts, build cloud-native solutions, and influence technical strategy while mentoring teams using .NET and Next.js technology.

The Staff Software Engineer will lead the development of AI-powered banking solutions using .NET, Next.js, and AWS, ensuring high-quality, scalable systems and innovative engineering practices.

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.

The AI Enterprise Strategist will define and accelerate AI strategy and governance in an organization, guiding leaders and ensuring operational success. Responsibilities include AI roadmap creation, governance framework management, and stakeholder communication for effective AI integration.

The AI Governance Consultant will develop frameworks for responsible AI, support implementation of AI governance models, and promote ethical AI across the organization.

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 Product Specialist will drive Workday Extend adoption by providing subject matter expertise, developing account strategies, and translating customer needs into strategic solutions, leveraging deep functional understanding of Workday.

The AI Sales Specialist Lead will drive AI product growth in the APAC region, managing a sales team and directly engaging with customers to achieve sales targets. Responsibilities include developing strategies, mentoring staff, and building customer relationships to enhance business outcomes.

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.

Design, develop, and deploy scalable integrations in AI settings while mentoring engineers and shaping APIs for efficient data integration.

As a Senior ML Engineer at Zendesk, you will develop and deploy ML systems, build benchmarking frameworks, and ensure reliable GenAI infrastructure.

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.

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 Backend Engineer at Speechify will optimize product flows, ensure infrastructure scalability, and manage backend systems related to AI voice technology.

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

The Senior Product Manager is responsible for client relationship management, product strategy, roadmap development, and ensuring feature delivery in healthcare applications using League's platform.