Top AI Jobs in Melbourne

Lead Riskified’s APAC Business Development team and define regional expansion strategy. Responsibilities include managing and developing business development representatives, using AI to scale personalized outreach, improving prospecting efficiency, researching target industries and companies, partnering with sales leadership, representing the company at industry events, and building relationships across the payments industry. The role requires people-management experience in Japan or Australia, complex sales leadership experience, strong analytical ability, English fluency, and ideally Japanese fluency.

Lead product strategy for core cloud platform capabilities, manage and mentor product managers, drive architectural transformations (agent-first platform, multi-region cloud), modernise databases to managed cloud services, define customer journeys, and collaborate with cross-functional stakeholders to prioritise and deliver scalable infrastructure features.

Develop and deploy machine learning products and services by translating complex business problems into applied research programs. Build robust data pipelines and reusable code in Python or Scala, develop and evaluate applications involving NLP, computer vision, and LLMs, and monitor algorithms at scale. The role also involves managing research risks, collaborating cross-functionally, mentoring colleagues, communicating complex findings, and raising scientific and engineering standards.

Leads ML and platform engineering teams building scalable, production-grade machine learning infrastructure. Responsibilities include coaching engineers, guiding architecture and engineering trade-offs, improving MLOps maturity and observability, translating business goals into delivery plans, managing roadmaps, maintaining system health, and supporting production incidents through code review, debugging, or hands-on development. The role supports AI products including conversational GenAI, automated bank reconciliation, document capture, and cash-flow forecasting.

Provide privacy legal advice across the Australian business, develop and implement privacy policies and training, conduct PIAs, audits and incident responses, coordinate with Risk and Data teams, and support compliance with international privacy reforms.

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.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

Lead engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

Develop and execute strategic account plans for education customers, build executive relationships, lead complex Cisco portfolio sales, identify growth opportunities, manage pipelines and forecasts, and communicate technology value. Collaborate with engineers, architects, services, finance, legal, and customer experience teams to deliver measurable outcomes and drive adoption of networking, security, cloud, collaboration, software, services, and AI solutions.

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

Owns and grows strategic channel partnerships across Australia and New Zealand. Develops partner business plans, enables VARs, GSIs, MSSPs, and distributors, drives incentives and pipeline generation, manages executive relationships, and delivers revenue growth through strategic partnerships. The role also supports forecasting, reporting, market insights, and the evolution of Darktrace’s channel strategy for cybersecurity and AI security.

Lead the Financial Services Industry sales strategy and growth agenda across Australia, focusing on banking, insurance, wealth, and superannuation clients. Build executive relationships, develop strategic account plans, generate new-logo and expansion opportunities, and lead complex technology consulting and transformation pursuits through close. Partner with consulting and delivery teams to create differentiated propositions involving cloud, data, AI, applications, and managed services while driving revenue, margin, and market growth.

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.

Provides legal and compliance advice across multiple jurisdictions, serving as Data Protection Officer and Legal Compliance Officer. Administers the privacy program, assesses data processing, advises cross-functional teams on global data protection regulations, drafts privacy notices and data processing agreements, manages records of processing activities, evaluates risks, handles data subject requests, and responds to personal data breaches. Drives compliance improvements and collaborates with regional legal teams.

Lead hands-on initiatives that improve software engineering across multiple teams. Build reusable platforms, developer tools, automation, delivery pipelines, and engineering standards. Mentor engineers, improve developer experience, champion responsible AI-powered practices, and strengthen observability, reliability, security, performance, and cost efficiency. Partner with architecture, security, risk, governance, data, and engineering teams to deliver resilient cloud-based solutions.

Provides hands-on technical leadership across Business Banking technology, designing platforms, reusable tools, engineering standards, automation, and developer self-service capabilities. Partners with delivery squads and central technology teams to improve software delivery, DevSecOps, cloud adoption, observability, reliability, performance, security, and cost optimization. Mentors senior engineers and promotes AI-powered engineering practices, scalable guardrails, and consistent technology outcomes.

Lead digital workplace and Service Desk architecture by defining standards, reference patterns, roadmaps, integration designs, and governance. Guide solutions across endpoints, collaboration, identity, cloud, networks, cybersecurity, automation, telemetry, and AI-assisted support. Ensure solutions are secure, scalable, supportable, privacy-conscious, and aligned with enterprise requirements. Partner with technical, operational, delivery, supplier, and business teams to improve employee experience, service quality, automation, knowledge reuse, and proactive support.

Lead AI capability-building programs for not-for-profit organisations through training, mentoring, consultations, webinars, workflow and prototype design, practical resource development, and responsible AI governance. Advise NFPs across digital foundations, applications, IT management, cybersecurity, and artificial intelligence. Coach Hub staff, deliver regional capability programs, conduct requirements analysis, write reports, design solutions, and manage stakeholders and multiple projects.

Principal Consultant leading data and AI advisory engagements, business transformation, client relationships, project delivery, solution development, quality reviews, proposals, thought leadership, and team mentoring. The role requires applying data science and analytics across customer, marketing, digital, and finance functions while translating complex technical concepts for diverse stakeholders. Responsibilities include overseeing medium to large projects, managing delivery risks, building data solutions, advising executives, supporting business development, and enhancing consulting frameworks and offerings.

Develops operational intelligence by analyzing complex airline data, building reliable reporting and analytical tools, establishing data governance and semantic standards, identifying performance trends and risks, and delivering actionable recommendations. The role supports predictive and real-time decision-making, continuous improvement, and the introduction of AI and large language model applications into operational analytics. It partners with operational leaders to improve business performance, manage risk, and enhance customer outcomes.

Lead RMIT’s RACE and RAIL digital research infrastructure programs, managing multidisciplinary specialists and partnerships with researchers, technology providers, government agencies, and industry. Provide executive-level advice on cloud, advanced computing, AI, data services, strategy, investment, and policy. Translate complex technical concepts into research solutions, build strategic collaborations, and foster high-performance, inclusive teams that enable data-intensive and translational research outcomes.

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 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 multidisciplinary teams to deliver digital transformation advice, translate technical strategy into pragmatic solutions, plan workshops, conduct qualitative and quantitative analysis, own workstreams, coach junior staff, and contribute to practice growth through proposals and IP development.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.