Top AI Jobs in Melbourne

Lead field-facing AI security strategy for enterprise customers: design secure LLM/RAG architectures, deliver demos and POVs, advise on data protection and Zero Trust, and scale enablement content across sales and product teams.

Lead design and implementation of AI research and production infrastructure. Mentor junior engineers, and collaborate to enhance data usability, solving complex technical challenges.

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.

Lead discovery, design, and delivery of Agentic AI POCs on the ServiceNow platform in 3-4 week sprints. Scope and build working AI agents, integrate enterprise data sources, run consultative workshops, support sales technical positioning, orchestrate engineers, and create reusable assets like prompt libraries, agent templates, and integration blueprints for handoff.

Design and implement large-scale, production-grade distributed systems to power generative AI features. Own architecture, operational reliability, and technical debt. Collaborate with applied scientists to productionize ML/LLM models, mentor engineers, and improve data usability and engineering standards.

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 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.

Provide commercial legal support for ANZ sales, professional services and alliances: draft, review and negotiate contracts; support contracting/order processes; partner with privacy, security and compliance; handle contract disputes, compliance with AU/NZ law, training, and cross-regional projects.

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.

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.

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

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.

Provide specialist legal advice on cyber preparedness and incident response, complex data/privacy matters, AI governance, regulatory investigations and enforcement. Work with cross-firm teams to advise boards and executives, manage large matters, lead teams, and support business development.

Lead enterprise AI strategy and technology selection (with strong Microsoft Azure focus), establish governance and Responsible AI frameworks, prioritise and oversee AI use cases, guide executives and stakeholders, and ensure scalable, production-grade MLOps, data architecture, and compliant deployments delivering measurable business value.

The AI Engineer will design, develop, and deploy AI/ML solutions using AWS and/or Azure, build data pipelines, and maintain ML workflows while collaborating with teams to address business challenges.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.