Top AI Jobs in Melbourne

Lead design and implementation of large-scale distributed production systems powering generative AI features. Own architecture, mentor engineers, manage technical debt, operationalize ML/LLM models, and collaborate with scientists to productionize research using Python, SQL, Spark/Dask, AWS, and Kubernetes.

Design, build, and operate an internal AI skills marketplace and distribution platform. Own end-to-end delivery from experimentation to production, create runbooks, monitoring, rollback plans, and provide guidance on authoring agent skills while collaborating with vendors and engineering teams.

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.

Lead and deliver detailed design for large water and wastewater treatment plants, prepare technical reports, drawings and specifications, manage client relationships, support bids and proposals, mentor staff, and ensure safe, constructable, and commercially viable design solutions.

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.

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.

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.

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.

Entry-level Data & AI consulting analyst supporting customer intelligence projects: develop project plans, perform advanced analytics and AI modelling, translate business requirements into data-driven solutions, manage stakeholders, and leverage Accenture Song Data & AI capabilities to improve marketing and customer outcomes.

Design, build, deploy and operate cloud-native, AI-enabled employee experiences using Python, AWS, Node.js and React. Contribute to architecture, platform components, CI/CD, DevSecOps, observability and AI-agent features while improving security, scalability and engineering quality.

Lead presales enterprise architecture for Data/AI and Applications, designing integrated multi-tower solutions (data platforms, GenAI, MLOps, application modernization, cloud, integration, AIOps). Drive account planning, C-suite workshops, bid leadership, value cases, demos, portfolios, and in-contract innovation while coaching teams and ensuring delivery and commercial alignment.

Lead design and delivery of AI-driven solutions from prototyping to production. Work with business leaders to identify opportunities, build prototypes, design scalable cloud-native architectures, implement APIs, CI/CD and deploy observable, secure AI systems. Mentor engineers and establish reusable AI patterns and best practices.

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.

The Principal Technology Product Owner will lead cross-functional teams to develop Generative AI solutions, focusing on safety, customer needs, and governance while managing the product roadmap and stakeholder engagement.

Support maintenance and improvement of regulatory compliance content: perform legal research, draft and edit content, update formatting and metadata, conduct quality reviews, manage documentation and workflows, and assist content managers with day-to-day operational tasks across jurisdictions.

Work lawyer-to-lawyer with senior legal stakeholders to drive adoption of LexisNexis Protege, translating workflow priorities into AI-enabled solutions, delivering demonstrations, supporting pre- and post-sales pursuits, capturing customer insights in CRM, and partnering with Relationship Managers to grow engagement and create new business opportunities.

Validate and improve AI-generated legal and regulatory compliance outputs through legal research, testing, identifying gaps and edge cases, and providing structured feedback to product, engineering and data science teams. Support prompt design, evaluation frameworks, training data, taxonomy and metadata, and work across Australian, UK and global regulatory environments to enhance AI accuracy and customer outcomes.

Lead CX and AI strategy engagements: assess current-state, define future operating models, recommend CCaaS/CRM/AI platforms and architectures (MCP, A2A, APIs), design AI-enabled workflows, advise executives, and drive large-scale transformation with measurable business cases.

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.