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.

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.

This role focuses on implementing data governance strategies, collaborating with teams to enhance data stewardship, and navigating ethical challenges in data management.

The Senior Digital Transformation Consultant will assess tech needs for non-profits, provide technology advice, lead capability building programs, and manage multiple projects.

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

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.

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

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

Lead Vanguard Australia’s AI enablement and governance agenda: translate AI strategy into programs, establish governance and guardrails, accelerate AI use cases, manage AI product portfolio, build organisational capability, and oversee model lifecycle, validation, monitoring, and risk scoring to ensure ethical, compliant, and value-driven AI adoption.

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

The AI Engineer will develop GenAI applications, oversee production rollouts, advise customers, present at conferences, and collaborate on product roadmaps.

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 and deliver production-grade generative AI platforms on Azure, defining reference architectures, data pipelines, model orchestration, deployment (AKS/Containers/Functions), CI/CD and MLOps, security and governance controls, observability, and mentor teams to ensure enterprise-scale, compliant GenAI solutions.

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

Design, build, and deploy production-grade AI solutions (agents, RAG, MCP servers). Analyse business processes, integrate APIs and cloud platforms, establish prompt engineering and developer standards, manage projects, and upskill client teams.

Lead and coordinate internal AI adoption by identifying high-impact use cases, owning AI initiative roadmaps, liaising between business and technical teams, embedding AI into transformation programs, ensuring governance and risk alignment, driving change management, and tracking value and benefits realization.

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.

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

Join the TMT practice as a Senior Associate or Associate, focusing on cyber, data, and AI law, advising clients on regulatory issues and incident responses.

The AI Product Sales Specialist will drive sales in AI/ML for Snowflake, engaging with clients to understand their needs and optimize product usage, while achieving revenue targets and collaborating with cross-functional teams.

Design end-to-end AI experiences for consumer and enterprise contexts: research opportunity areas, prototype agent behaviour and personality, align visual and brand expression, collaborate with frontend and backend engineers, and build testable AI-driven product workflows focused on usability, trust, and adoption.

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

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

As an AI Engineer at Maincode, you will build and optimize training pipelines and inference systems for large-scale foundation models, collaborating closely with researchers on cutting-edge algorithms.