Top AI Jobs in Melbourne

Leads multiple engineering teams responsible for payment products and platform capabilities. Sets engineering strategy, architecture, roadmap, reliability, security, and operational excellence priorities while partnering with Product and Design. Develops engineering managers and technical leaders, drives predictable delivery, manages technical trade-offs, champions AI-enabled engineering practices, and builds an inclusive, high-trust culture for globally scaled payment systems.

Design, develop, test, and deploy autonomous capabilities for uncrewed aircraft. Responsibilities include implementing autonomous behaviors, processing sensor data, building sensor-fusion solutions, conducting software and hardware-in-the-loop simulations, integrating autonomy products with aircraft systems, contributing to architecture and code quality, and mentoring junior engineers.

Designs, develops, tests, and deploys autonomous capabilities for uncrewed aircraft. Responsibilities include implementing autonomous behaviors, sensor fusion, simulation, systems integration, architecture, code quality, design reviews, and collaboration across AI, robotics, and systems engineering teams. The role also leads and mentors junior engineers.

Leads Xero’s global growth content organization and redesigns its content operating model for an AI-native future. Owns content strategy across the funnel, establishes test-and-learn practices, connects content performance to business outcomes, improves brand consistency and channel fit, and develops a high-performing global team. Partners across marketing, product, analytics, sales, communications, SEO, and regional teams within a complex global matrix.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Graduate program supporting high-performance computing environments and supercomputer systems. Responsibilities include working with technical support teams, contributing to supercomputer implementation projects, exploring Linux-based operating systems, storage and data management, open-source software, networking, security models, and AI applications. The role is onsite at partner or customer offices and requires willingness to travel 20–40%.

Manage full-cycle recruiting for GTM roles across sales, customer success, marketing, professional services, and related teams. Responsibilities include intake meetings, sourcing, structured interviews, candidate assessment, pipeline management, compensation and offer negotiations, market research, funnel analysis, diversity-focused recruiting, and candidate experience. The recruiter will manage multiple requisitions, advise hiring teams, maintain accurate ATS documentation, and use recruiting technology and AI responsibly in a remote-first global environment.

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.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role develops automation playbooks and API integrations, tunes machine-learning detection models, troubleshoots customer issues, supports threat hunting and forensic analysis, integrates security workflows, and leads AI workshops. It also requires customer engagement, technical presentations, project prioritization, cross-functional leadership, and mentoring while applying cybersecurity, AI/ML, and platform deployment expertise.

Design, build, and operate production systems powering Xero’s ML, LLM, and agentic AI features. Responsibilities include backend services, orchestration, infrastructure, APIs, cloud deployment, observability, reliability, cost and latency optimization, incident response, and large-scale data processing. The role also involves establishing engineering standards, mentoring engineers, and partnering with scientists and cross-functional teams to deliver dependable AI products.

Design, build, and operate production backend systems, services, pipelines, and infrastructure powering Xero’s LLM-driven and agentic AI products. Responsibilities include system architecture, APIs, cloud infrastructure, reliability, observability, cost and latency management, on-call support, incident response, data processing, and mentoring engineers. The role partners with scientists and cross-functional teams to operationalize AI systems at scale without requiring model-training expertise.

Owns delivery of technical enhancements, website support, maintenance, and emerging digital projects across client retainers. Manages backlogs, capacity planning, Agile workflows, risks, and client communications while partnering with engineering teams. The role focuses on continuous improvement, operational efficiency, high-quality delivery, stakeholder collaboration, and identifying new opportunities within existing accounts.

Own customer outcomes for AI legal solutions across Australian law firms and corporate legal departments. Lead onboarding, implementation, training, adoption, success planning, ROI measurement, renewals, and expansion opportunities. Build executive relationships, coordinate cross-functional issue resolution, support trials and proofs of concept, and communicate customer insights to product, sales, and marketing teams.

Lead a portfolio of major consumer-brand clients, building senior relationships, advising on commercial decisions using data and analytics, and driving retention and account growth. Translate complex insights into compelling recommendations, shape client solutions with analytics and product teams, ensure value realization, lead business development, and coach senior client leads.

Graduate technology consultants will analyze organizational data, interview stakeholders, define information system requirements, establish project objectives, and recommend technology solutions or process improvements. They may specialize in technology risk and resilience, cybersecurity, enterprise data analytics and AI, or business platform transformation. The program provides structured training, mentoring, consulting experience, and opportunities across multiple industries, with a Q2 2027 start.

Build and operate AI enablement platforms, internal skills marketplaces, and AI tool distribution systems used by engineering teams. Develop agent skills and remediation agents, establish AI engineering best practices, and manage production reliability through monitoring, runbooks, and rollback planning. Collaborate with AWS, Microsoft, and GitHub on early-access technologies while influencing technical direction and supporting a growing AI-focused team.

Supports energy advisory engagements through research, quantitative and qualitative analysis, problem solving, and preparation of client reports and presentations. Researches energy markets, regulation, reforms, and emerging practices while working with clients and stakeholders. The role also contributes to business development, proposals, marketing, and industry engagement, using AI and other tools to improve work quality and efficiency.

Leads the development and deployment of commercial AI products, platforms, LLM applications, agentic workflows, and intelligent automation. Establishes AI engineering standards, architecture patterns, evaluation practices, and guardrails across dentsu. Shapes the AI engineering function, guides technical strategy, manages complex initiatives from strategy through optimization, and translates emerging technologies into scalable business outcomes.

Leads integrated B2B marketing programs for Cisco’s Collaboration Technology portfolio across Australia and New Zealand. Develops regional marketing plans, adapts global campaigns, coordinates sales, channel, product marketing, agencies, and vendors, manages budgets and timelines, and measures lead generation and pipeline impact. The role also embeds AI into marketing strategy, campaign execution, content development, reporting, personalization, and daily workflows.

Lead complex records management SaaS implementations for regulated customers, translating business requirements into scalable solutions. Define information governance methodologies, classification and retention frameworks, audit controls, solution patterns, and onboarding standards. Advise senior stakeholders, coach consultants, improve delivery performance, support presales feasibility, and embed responsible AI into consulting practices.

Leads Microsoft's Services sales business across Australia, setting growth strategy and managing bookings, revenue, renewals, and retention. Directs and develops Services sellers, leads complex multi-year cloud, AI, consulting, support, and managed services deals, and builds executive customer relationships. Oversees forecasting, pipeline governance, commercial structuring, delivery alignment, partner collaboration, and risk management while promoting inclusive leadership and responsible technology adoption.

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.

Build and ship AI-powered products across a portfolio of ventures, owning work from discovery and prototyping through production, measurement, and iteration. Design reliable AI systems using models, agents, tools, retrieval, and deterministic software. Develop reusable AI services and integration patterns while addressing security, privacy, testing, observability, and regulated-environment constraints. Collaborate with venture, product, design, and technical leaders to evaluate opportunities and deliver measurable customer and commercial outcomes.

Drive go-to-market execution and quota attainment for Fortinet’s AI security solutions across Australia. Build pipeline with account teams and partners, lead enterprise discovery, presentations, workshops, demonstrations, and strategic selling, and close complex multi-stakeholder deals. Advise customers on AI governance, runtime protection, guardrails, red-teaming, and shadow AI. Train sales teams and channel partners while engaging C-level security and AI decision-makers.

Leads pre-sales technical execution for AI security solutions across Australia. Responsibilities include technical discovery, architecture reviews, demonstrations, proof-of-concept support, customer deployments, partner enablement, sales engineer training, demo environment management, and post-sales handoffs. Builds relationships with technical decision-makers, supports cloud and self-hosted AI deployments, and evangelizes secure agentic AI practices.