Top AI Jobs in Melbourne

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Lead enterprise workforce reinvention by designing AI-enabled operating models, deploying agents, developing AI literacy and retraining programs, and driving sustained behavioral adoption. The role partners with business, technology, HR, and Microsoft teams to assess readiness, coordinate global enablement, establish AI champion networks, facilitate leadership workshops, and measure adoption across large user populations.

Advise customers on Azure cloud, database, analytics, and AI solutions. Design secure and scalable architectures, lead discovery workshops, demonstrations, proof-of-concepts, and deployment planning, and guide database modernization and migrations. Partner with sales, customer success, and technology partners to influence technical decisions, remove deployment blockers, and drive adoption. Apply expertise in Microsoft Fabric, Azure Databricks, Azure databases, PostgreSQL, advanced analytics, and emerging Agentic AI technologies.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Build and rapidly deploy internal AI-powered tools and automations that reduce operational toil. Integrate Jira, Confluence, Workday, and data warehouses through APIs; automate reporting, headcount management, and roadmapping workflows; evaluate custom, low-code, and SaaS solutions; prototype scalable AI-enabled improvements; and mentor operations teams in modern AI tooling.

Lead enterprise Data and AI transformation engagements using Databricks across AWS and Azure. Define data strategies, roadmaps, governance frameworks, and modern Lakehouse architectures. Design AI-enabled data products using Mosaic AI, GenAI, RAG, Vector Search, MLflow, and agentic AI. Advise executive stakeholders, facilitate architecture workshops, support solution pursuits, and develop reusable architecture patterns for the Data and AI practice.

Own the full sales cycle for Salesforce Customer 360 across mid-market commercial accounts in Australia. Responsibilities include prospecting, pipeline generation, territory strategy, C-suite relationship building, solution selling, forecasting, complex deal management, and closing new and expansion opportunities. The Account Executive acts as a trusted advisor, leads cross-functional resources, develops go-to-market plans, and builds long-term customer relationships while achieving quota targets.

Advise clients on corporate equity capital markets and public and private M&A transactions, including drafting and negotiating transaction documents. Collaborate with clients, advisers, regulators, and internal legal teams to meet deadlines and deliver integrated services. Support business development, supervise junior lawyers, and contribute to team learning and culture. The role requires Australian or New Zealand admission and 4–7 years of relevant post-qualification experience.

Provides senior-level technical support for Ethernet networking, Linux systems, servers, and large-scale AI infrastructure. Investigates complex customer issues, performs diagnostics and root-cause analysis, coordinates critical escalations, and leads high-severity incidents. Advises enterprise and cloud customers, collaborates with Engineering and Product teams, improves documentation and support processes, and applies automation and agentic AI tools to troubleshooting and operational efficiency.

Develop and deploy AI, generative AI, machine learning, and data science solutions for consulting clients. Responsibilities include building RAG pipelines, AI agents, LLM applications, predictive models, deep learning systems, optimization solutions, and big-data applications. The role also involves model evaluation, AI observability, governance, research, and collaboration with architects, engineers, data scientists, and clients.

Lead strategy and execution for Xero’s AI Shared Services platform, including eventing, communications, search, and related reusable capabilities. Define the domain roadmap, establish success metrics and dashboards, build stakeholder relationships, and drive adoption across product and engineering teams. The role requires managing interdependent platform products, applying technical fluency across distributed systems and cloud environments, making investment cases, navigating ambiguity and dependencies, and growing high-performing people and teams.

Lead the strategy, development, and scaling of shared platforms and operating models for AI-native delivery. Align stakeholders, establish roadmaps and governance, measure adoption and organizational impact, and move AI workflows from pilots into repeatable products. Partner with Engineering, Security, Data, and other teams while coaching teams in effective AI product practices and translating complex technical capabilities into investment decisions.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

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.

Work with a small engineering team to write, test, and ship production-ready code across front-end and back-end (React, Node.js). Collaborate with stakeholders, support QA, customer onboarding and deployments, learn from the Lead Engineer, and contribute to product features with autonomy in a hybrid startup environment.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

The Solutions Engineer partners with Sales and cross-functional teams to win complex enterprise SaaS deals across APAC. Responsibilities include technical demonstrations, presentations, tenders, RFPs, security questionnaires, solution design, proofs of concept, managed trials, Statements of Work, technical objection handling, and customer handoffs. The role translates technical capabilities into business value, advises prospects and customers, captures product feedback, and builds reusable sales enablement assets.

Design and prototype creative product experiences for Envato’s AI-powered tools. Apply exceptional visual craft across typography, composition, hierarchy, motion, and interaction; explore ideas with AI; test concepts with customers and teammates; and develop promising prototypes into core product experiences. Candidates may come from university, freelance work, independent projects, or other creative disciplines and must demonstrate work they have built using AI alongside strong visual design.

Design beautiful, intuitive product experiences for Envato’s creative tools. Translate early ideas into polished workflows, prototype with Figma, code, motion, and AI-assisted tools, and collaborate closely with Product and Engineering. Shape Envato’s visual language while balancing visual craft, UX clarity, product thinking, and commercial outcomes. Applicants should demonstrate visual craft and an AI-built project, explaining their contribution, tools, and design decisions.

Own end-to-end implementation delivery for multiple enterprise utility customers, from contract signature through go-live, hypercare, and handover to Customer Success. Coordinate cross-functional internal teams and customer stakeholders, manage scope, milestones, dependencies, risks, resources, and change, and provide executive updates. Improve implementation processes, tooling, templates, and playbooks while reducing time to customer value.

Owns high-impact ANZ strategic projects spanning commercial growth, customer expansion, partnerships, sales, and delivery. The role translates regional priorities into workstreams, milestones, dashboards, operating cadences, and repeatable playbooks. It resolves cross-functional blockers, improves sales-to-delivery execution, supports priority accounts and partners, and uses data, automation, and AI to improve regional performance. Success is measured through revenue retention, opportunity progression, partner contribution, delivery efficiency, and stronger operating leverage for regional leadership.

Drive commercial growth by managing and expanding established enterprise accounts, hunting new logos, closing complex multi-solution deals, and cross-selling AI, data, Salesforce, and staff augmentation services. The role requires managing full sales cycles, engaging enterprise stakeholders, aligning bespoke digital transformation solutions with client needs, and collaborating with technical and delivery teams.

Manage and optimize Google Ads and Meta Ads accounts, develop paid acquisition strategies, analyze campaign performance, and implement validated AI-generated recommendations. Advise clients on performance marketing, brand, creative, and growth strategy while building strong relationships. Collaborate with technical specialists on analytics, tracking, Google Merchant Center, and dashboards. This is a remote, part-time freelance engagement requiring approximately 15 hours weekly for six months.

Teaches undergraduate and postgraduate computer science courses through lectures, tutorials, workshops, consultations, and assessment. The role also involves curriculum development, student feedback, course coordination, meetings, and incorporating emerging technologies and innovative teaching practices. Candidates should have expertise in at least three listed computer science areas and be capable of delivering high-quality face-to-face and hybrid learning.

Own the backend and agent systems powering LLM products, including multi-turn conversations, tool calling, RAG, state management, evaluations, monitoring, and production reliability. Diagnose failures across models, knowledge systems, tools, and infrastructure; establish regression testing and quality measurement; and guide product and technical decisions. The role requires shipping and improving LLM features at scale, strong backend engineering, disciplined evaluation practices, and preferably Web3 experience.