Top AI Jobs in Melbourne

As a Senior Engineer, you'll develop AI workflows, lead delivery of AI agents, and integrate systems while collaborating with business teams to automate processes.

The Business Development Manager will onboard new sellers, build relationships, conduct market research, negotiate contracts, and collaborate with internal teams.

Lead design and build of internal AI tooling and automation to improve security operations. Develop ad-hoc incident response and threat-hunting tools, maintain Kubernetes, serverless, and ETL/data pipelines, and partner with product teams to automate patching and risk-mitigation services. Own large-scale log pipelines, mentor junior engineers, and deliver high-quality projects autonomously.

Lead development of internal AI-driven security tools and automation, support incident response with threat-hunting and remediation tooling, maintain Kubernetes/serverless infrastructure and large-scale log/ETL pipelines, identify automation opportunities with engineering teams, drive security outcomes (patching, gateways), and mentor junior engineers.

Lead and grow an engineering team building AI-powered internal security tooling and automation. Drive execution from planning to delivery, build infrastructure (Kubernetes, serverless, ETL), support incident response with threat-hunting tools, and partner with product teams to reduce risk through automation and security services. Mentor engineers and identify opportunities for automation and tooling.

Lead net-new enterprise sales within Banking & Financial Services by owning full sales cycles, developing territory and pipeline, co-selling with hyperscalers and partners, and positioning Iron Mountains digital portfolio (AI, intelligent document processing, workflow automation) to deliver measurable ROI and close high-value deals.

The Solution Sales Executive will drive sales of FICO's platform in financial services, engaging with clients, managing relationships, and collaborating with internal teams to deliver solutions.

The Clinical Development Analyst specializes in developing and managing Computer-Assisted Coding for healthcare, ensuring alignment with coding standards and compliance, and providing clinical expertise in coding development.

The Content Solutions Engineer will act as a subject matter expert in AI and Machine Translation, providing pre-sales support, technical consulting, and collaborating on solution architecture to help clients optimize globalization processes.

Join CommBank's Data Science & AI Talent Community to build AI solutions improving customer outcomes while fostering responsible and ethical use of AI. Positions available range from Data Scientist to Principal Data Scientist, emphasizing collaboration and innovation in a flexible work environment.

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 Partner Development Executive builds relationships with strategic partners to align SUSE solutions with objectives, drive pipeline and business growth, and enhance SUSE's market presence.

Design and operate advanced AI infrastructure, focusing on GPU clusters and large-scale systems. Collaborate with researchers and develop architectural solutions from first principles.

The role involves building and maintaining back end services for a large language model, focusing on APIs, infrastructure, reliability, and system performance.

The AI Adoption Specialist will manage enterprise engagements by ensuring SOW delivery, fostering client relationships, tracking adoption metrics, and overseeing program goals from initiation to close.

The AI DevOps Engineer will design, deploy, and operate AI platforms, primarily using AWS and focusing on optimizing workloads, orchestrating workflows, and integrating AI services while ensuring security and cost-effectiveness.

Lead research and development for AI models, solving complex problems in model alignment and performance while mentoring other engineers.

As a Senior AI Engineer, you will design and build backend services for AI-driven products, ensuring performance optimization, security, and reliability while collaborating with other teams.

As a Principal AI Engineer, you will design and build the knowledge graph architecture using Neo4j, develop an intelligence service in Go, and create an evaluation infrastructure for a sports performance technology platform. You will be responsible for integrating product data into a cohesive knowledge layer and setting technical standards for the team, with a focus on using AI coding tools as primary development resources.

Lead AFCA's data and AI governance lifecycle, creating frameworks, policies and assurance processes. Oversee data quality, AI evaluation (accuracy, bias, reliability), inventories of approved tools, and integration with privacy, information management and security. Drive cross-functional governance forums, monitor external AI regulation and coach the governance team.

Lead end-to-end implementation of integration solutions using MuleSoft Anypoint Platform. Work with solution architects, design, develop, test and deploy APIs and event-driven integrations (Solace/Kafka/Anypoint MQ). Apply API-led connectivity, RAML/Swagger, SOA/ESB and microservices patterns. Drive technical and commercial discussions, follow DevOps/CI-CD practices, mentor team members and maintain MuleSoft certification.

Design and ship agentic AI features: build stateful multi-turn conversational systems, memory and context graphs, RAG and hybrid search, data pipelines and integrations, production LLM evaluation and observability, prompt engineering, safety guardrails, and partner with product and people science to deliver scalable, responsible AI in production.

Support legal operations by reviewing workflows, designing AI-enabled solutions, building prompt libraries and SOPs, testing tools (Copilot, ChatGPT, Claude), assisting contract review, regulatory tracking, preparing board/committee materials, and training colleagues on automation and workflows.

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.

Promote Lilly's cardiometabolic health products, build relationships with healthcare professionals, travel regionally, maintain customer satisfaction, and comply with standards.