Top AI Jobs in Melbourne

Designs, develops, tests, and deploys autonomy capabilities for uncrewed aircraft. Responsibilities include autonomous behaviors, sensor fusion, high-fidelity simulation, third-party systems integration, software architecture, code quality, design reviews, and mentoring engineers. The role requires strong modern C++ expertise and experience in robotics, autonomy, perception, aerospace systems, or reliable software development. Australian citizenship and eligibility for an Australian Government security clearance are mandatory.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Lead development of AI-powered information security tools, internal infrastructure, threat-hunting and remediation systems. Build and maintain Kubernetes clusters, serverless workloads, ETL pipelines, and large-scale log-processing infrastructure. Partner with engineering teams to automate security outcomes, support incident response, and reduce risk. Mentor software engineers and independently own technical roadmaps and project delivery.

Lead development of AI-powered information security tools, infrastructure, and applications. Build and maintain Kubernetes clusters, serverless workloads, ETL systems, and large-scale log pipelines. Develop threat hunting, remediation, security scanning, and patching automation tools while partnering with engineering teams to reduce risk. Mentor software engineers and independently deliver high-quality security projects.

Design and build scalable data solutions spanning ingestion, modelling, pipelines, and platform infrastructure. Own complex technical problems, improve data quality and self-service capabilities, and operate production systems with monitoring and incident response. Use Snowflake, dbt, Prefect, AWS, Terraform, and Flink to develop reliable data platforms and real-time products. Collaborate with product, security, engineering, and data-consuming teams while promoting automation, testing, CI/CD, and modern engineering practices.

Lead and develop an AI Workforce specialist sales team across Australia, New Zealand, and India. Drive Copilot adoption, enterprise customer transformation, pipeline generation, forecasting, strategic customer engagements, and business growth. Partner with sales, technical, and partner teams to align resources, remove obstacles, improve customer outcomes, and accelerate Microsoft AI solution adoption. The role also requires executive sponsorship, operational rigor, people development, and leadership through ongoing technology transformation.

Serve as a trusted technical advisor to ANZ prospects and customers, leading discovery, demonstrations, solution design, proofs of value, workshops, and technical evaluations. Partner with Account Executives to support customer acquisition and expansion, advise on DevSecOps, cloud, security, and software development practices, and communicate customer feedback to internal teams. Build long-term relationships, guide digital transformation, and support GitLab platform adoption.

Lead enterprise pre-sales engagements for Evisort’s AI-powered contract lifecycle management solution. Demonstrate the platform, translate customer requirements into tailored solutions, develop presentations and proofs of concept, and build executive-level business cases for contract transformation. Advise strategic customers on expansion and apply AI and LLM capabilities across procurement, legal, compliance, and other operational use cases. Support sales opportunities across Australia, New Zealand, and potentially Asia.

Lead product strategy and roadmaps for AI Enrichment and Listings Enrichment squads. Own audience modelling and segmentation vision, prioritize data and ML capabilities, build investment cases, and balance reusable platform development with near-term outcomes. Partner with product, engineering, and data science teams on model lifecycles, experimentation, evaluation, monitoring, and adoption. Champion data quality, privacy, responsible AI, and measurable business impact across REA’s consumer and customer experiences.

Own technical wins for complex enterprise opportunities across Australia and New Zealand. Lead discovery, architecture, demos, proofs of concept, RFPs, tenders, security reviews, and technical sales processes. Design reference architectures, integrations, and solution packages involving work management, CRM, service, AI agents, and workflow automation. Partner with customers, Sales, Product, and R&D while articulating business value and platform capabilities.

Research Staff will develop foundational voice AI technologies, including neural audio codecs, steerable generative models, latent-space embeddings, synthetic audio data generation, multimodal speech-to-speech systems, and hardware-efficient architectures. The role combines mathematical modeling, algorithmic innovation, large-scale data engineering, real-time deployment optimization, and rigorous experimental design to advance scalable, low-latency voice interaction.

Leads People and Culture digital transformation initiatives focused on knowledge management, content governance, employee-facing platform improvements, and AI-ready information. Establishes frameworks for maintaining accurate, accessible P&C resources, improves self-service experiences, and partners with stakeholders across the organisation. Requires experience in P&C transformation, process improvement, knowledge management, or HR technology, with Workday experience valued.

Own the vision, strategy, roadmap, and delivery of enterprise identity graph and security signal products. Translate identity, data, AI, and security needs into measurable outcomes, prioritize capabilities, lead cross-functional engineering delivery, manage dependencies and risks, and communicate progress to senior stakeholders. The role focuses on connected identity data, graph analytics, real-time risk signals, and automated security outcomes.

Develop and govern HammondCare’s enterprise architecture strategy, target-state architecture, technology roadmap, standards, and reference architectures. Lead planning across business, application, data, integration, cloud, infrastructure, cybersecurity, and AI domains. Advise executives on technology investments, provide architecture assurance for transformation initiatives, reduce complexity and technical debt, and evaluate emerging technologies. This 22-month contract is based in St Leonards with hybrid opportunities.

Leads recruitment and People Operations across the full employee lifecycle, from attraction and onboarding through mobility and offboarding. Manages and develops a high-performing team, improves processes through automation and AI, and uses Workday, reporting, KPIs, and employee insights to enhance service delivery. The role also oversees workforce planning, stakeholder and vendor relationships, compliance, change initiatives, and continuous operational improvement.

Drive revenue through complex enterprise sales by designing cloud data security solutions, conducting proof-of-value engagements and technical demonstrations, consulting with executive stakeholders, supporting partners, and coordinating internal resources. The role requires expertise in cloud security, data protection, IAM, networking, databases, encryption, privacy, and regulatory frameworks, along with strong presentation and problem-solving skills. Travel up to 50% within the assigned territory is required.

Designs and deploys agentic AI workflows and integrations for enterprise customers. Leads implementations from scoping through adoption, builds APIs and automations, configures data connections and guardrails, evaluates agent performance, and manages human-in-the-loop processes. Acts as the primary technical customer contact while coordinating engineering, data science, product, and customer success teams. Owns implementation roadmaps, requirements, acceptance criteria, documentation, and measurable delivery outcomes.

Supports Sales Operations, Planning, and Enablement through data analysis, Power BI dashboards, scenario modeling, and actionable business insights. Develops area-level views, planning tools, and enablement capabilities for segmentation, territory design, resource allocation, and Fast Start execution. Identifies opportunities to apply AI, Copilot, and automation to simplify processes, reduce manual effort, and improve productivity across the organization.

Leads production application support for business-critical financial systems, overseeing incident management, root-cause analysis, releases, change coordination, UAT, compliance, audit readiness, and data governance. The role also develops AI-driven automation and self-service tools, manages support backlogs, and coaches application support staff in troubleshooting, SQL, and operational practices.

Design, develop, test, and deploy autonomous behaviors for uncrewed aircraft. Build sensor-fusion solutions, autonomy systems, and task and motion planning capabilities using real-world sensor data and high-fidelity simulations. Integrate autonomy products with third-party aircraft and systems, contribute to architecture and code quality, collaborate across AI, robotics, and systems teams, and mentor junior engineers.

Supports corporate reputation, public affairs, ESG, and strategic communications engagements through research, client briefings, media releases, stakeholder mapping, message development, ESG reporting, and business development. The role requires managing multiple client accounts, contributing to meetings and campaigns, monitoring industry trends, and producing high-quality written and analytical materials with limited supervision.

Analyze sales and labor performance to identify productivity opportunities and build demand-based workforce planning models. Develop venue segmentation, labor benchmarks, and forecasting models that translate sales drivers into required labor hours. Support workforce planning tooling discovery, communicate actionable insights to operational leaders, and help Finance track post-implementation benefits. The role requires strong SQL, cloud, visualization, predictive analytics, and workforce management experience, with travel to venues.

Design, implement, test, and deploy autonomous behaviors for uncrewed aircraft. Develop sensor-fusion and perception solutions using real sensor data, validate systems through software- and hardware-in-the-loop simulations, and integrate autonomy products with third-party aircraft and systems. Collaborate across AI, robotics, and systems engineering teams, contribute to architecture and code quality, and mentor junior engineers.

Design, develop, test, and deploy autonomous behaviors for uncrewed aircraft. Build sensor-fusion solutions, autonomy systems, and high-fidelity software and hardware-in-the-loop simulations. Integrate autonomy products with third-party aircraft and systems, collaborate across AI, robotics, and systems engineering teams, contribute to architecture and code quality, and mentor junior engineers.