Top AI Jobs in Melbourne

Manage and lead a team of engineers to develop AI-powered security tooling, deliver projects, and mentor junior team members.

Design and build internal AI tooling and automation to support security operations, incident response, and threat hunting. Own infrastructure (Kubernetes, serverless, ETL/data pipelines), partner with product teams to reduce risk, deliver high-quality production code, and mentor engineers.

Lead and scale an AI Foundry pre-sales team to deliver high-velocity POCs and accelerators across ServiceNow Platform AI & Data. Operationalize POC processes, ensure architectural quality, mentor architects and engineers, partner with sales, and drive reusable technical assets to increase adoption and revenue.

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 role involves being a technical advisor, focusing on AI solutions within GitLab's DevSecOps platform, guiding strategy and value for customers, and leading technical evaluations and workshops.

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

Build and operate Xero's AI platform, focusing on infrastructure for deploying AI agents. Collaborate with teams, ensuring reliable product performance and evolving technology use.

Own and drive AI initiatives end-to-end: plan and track milestones, manage dependencies, remove risks and blockers, coordinate vendors and resources, facilitate cross-functional decisions (Medical, Legal, Regulatory, Compliance, Privacy), run governance and reviews, and produce clear status and reporting to leadership while promoting AI-enabled operating models.

As a Senior Software Engineer, you will develop AI tools, support incident response, maintain infrastructure, and mentor junior engineers.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

The Professor will lead research in neuro-symbolic and trustworthy AI, engage in teaching and curriculum development, and foster national and global partnerships.

The Research Assistant will conduct research on carbon neutral infrastructure, including carbon assessment, structural engineering, and AI applications. They will collaborate with teams, produce technical manuals, and support industry partnerships.

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 Digital Solution Executive will drive sales of digital solutions, design proposals, and manage complex deal logistics and negotiations.

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.

Work with university researchers to evaluate and apply existing AI tools (e.g., LLMs), build and deploy prototypes in cloud environments, produce technical documentation and user guides, and support adoption, integration, and ongoing support to scale practical AI solutions across disciplines.

Lead design, build, and operation of AI-enabled risk platform services using .NET/Python on AWS. Drive architecture, CI/CD (GitHub Actions/ArgoCD), observability, secure APIs, and agentic AI integrations. Provide hands-on technical leadership, mentor engineers, and ensure compliance, reliability, and scalable production readiness across microservices and data-driven features.

Build and operate .NET/Python microservices and secure APIs on AWS to deliver AI-enabled risk platform features. Contribute to architecture, CI/CD (GitHub Actions, ArgoCD), observability (Grafana, Prometheus, PagerDuty), and agentic AI integrations (LLM APIs, agent frameworks). Collaborate with product, data scientists, and platform teams to produce reliable, testable, and secure production systems consuming cloud data products.

Design and run large-scale LLM evaluation and observability for production AI features: sampling, LLM-as-judge, human-in-the-loop labeling, monitoring, regression detection, and continuous improvement. Build LLM-powered root-cause analysis and recommended fixes, own feedback loops (prompt engineering, labeling, evaluation), enable teams with reusable tooling and docs, and partner with product, data science and people science to map measured quality to customer value.

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.

Provide strategic and people leadership for the Data Science & AI Discipline, advancing research, teaching and industry engagement; shape discipline strategy, grow research programs and teams, contribute to curriculum and governance, and represent the discipline internally and externally.

Build and scale AI-powered GTM systems and automations across Sales and Marketing. Design workflows, integrations, and enrichment pipelines to prioritize accounts, improve forecasting and pipeline visibility, automate repetitive processes, and deliver revenue intelligence and dashboards to drive better GTM decisions.