Top AI Jobs in Melbourne

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 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.

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.

As an annotator, you will label and classify Japanese content, review data, and identify inaccuracies in AI-generated materials for various projects.

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

The Data Architect will optimize infrastructure for AI models, ensure data access, and advise on technology selection and vendor options.

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.

As a Senior Software Engineer, you will design and implement voice AI solutions, optimize performance, and integrate technologies to enhance clinical workflows, while collaborating with clinical teams.

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.

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

Lead transformative change in DevSecOps, drive AI innovation, set development standards, and ensure best practices across the organization.

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.

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.

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 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.

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

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