Top AI Jobs in Melbourne

Lead modernization of a global marketing data platform by replacing legacy architecture, unifying fragmented data sources, and embedding AI into data products and workflows. Translate commercial strategies into technical requirements, prioritize incremental product delivery, collaborate with engineering and applied science teams, and deliver reporting improvements for sales, marketing, and customer support.

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.

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 and autonomy 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 while contributing to architecture, code quality, design reviews, and engineering best practices. Lead 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.

Lead data and AI governance initiatives by evolving governance frameworks, creating practical guidance, delivering literacy programs, and partnering with technical, privacy, regulatory, risk, and business teams. The role focuses on responsible AI adoption, data stewardship, quality, lineage, transparency, explainability, bias mitigation, regulatory alignment, and translating policy into scalable technical and operational practices.

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.

Leads the strategy, roadmap, delivery, lifecycle, adoption, governance, security, and measurement of enterprise data products. Translates business priorities into delivery plans, manages backlogs and dependencies, coordinates engineering and external partners, and ensures data products are trusted, usable, compliant, and valuable. The role also advances a Data as a Service model and supports cross-functional stakeholder alignment across data, technology, analytics, and business teams.

Lead enterprise Power Platform and AI solution delivery, including discovery workshops, technical architecture, design documentation, development oversight, testing, deployment, production support, presales, and customer training. Mentor consultants, coordinate onshore and offshore teams, plan agile delivery, and develop secure integrations using Apigee X, GCP, Vertex AI, Terraform, and GitLab CI/CD. The role requires strong client engagement, technical communication, prioritization, and travel flexibility.

Lead detailed process engineering design for major water and wastewater treatment plants across Australia. Provide technical, commercial, and people leadership; advise on RO, recycled water, UV, and aerobic and anaerobic digestion; prepare investigations, reports, drawings, contract documents, and specifications; mentor engineers; manage client relationships; support business strategy and bids; and promote Zero Harm practices.

Leads technical sales and solution incubation for AI and application modernization opportunities. Partners with customers, sales teams, engineering, product groups, and partners to identify opportunities, build business cases, demonstrate solutions through architectures and proofs of concept, remove adoption barriers, and accelerate revenue. Acts as a trusted advisor to senior stakeholders, creates reusable sales and ROI assets, provides field enablement, and influences product roadmaps through customer and market insights.

Lead customer-facing data and AI projects using the Databricks platform, including architecture, development, deployment, migrations, integrations, training, and technical support. Advise strategic customers on big data transformations, build production-grade applications, manage technical scope and timelines, resolve implementation issues, and collaborate with project managers, architects, engineering, and support teams. The role requires extensive experience with big data technologies, cloud platforms, client consulting, and coding in Python or Scala, with 20–30% travel.

Leads the Financial Services Industry sales strategy across Victoria and Australia, growing strategic accounts and developing new business across banking, insurance, wealth, and superannuation. Builds executive relationships, creates technology consulting and transformation propositions, manages complex multi-million-dollar pursuits, and drives revenue, margin, and market growth. Partners with consulting and delivery teams and represents the organization with major clients and industry forums.

Lead the design and delivery of large water and wastewater treatment projects across Australia. Responsibilities include detailed plant design, technical investigations, reports, drawings, specifications, client engagement, process engineering guidance, bid support, mentoring, and technical oversight. The role also promotes innovation and explores digital engineering, virtual reality, and artificial intelligence to improve water infrastructure design and delivery.

Lead New Relic’s ANZ Acquisition Sales team, driving enterprise and commercial new-logo growth. Responsibilities include developing sales strategy, recruiting and coaching Account Executives, managing strategic C-suite relationships, creating account penetration plans, coordinating cross-functional teams, maintaining pipeline and forecast discipline, and increasing platform adoption and consumption-based revenue. The role requires SaaS sales leadership experience in the ANZ technology market and expertise in complex enterprise acquisition.

Develop analytics, reporting, reusable data products, semantic models, and self-service capabilities for investment stakeholders. Use Power BI, Microsoft Fabric, SQL, Power Platform, automation, and AI to analyze and visualize complex data. Partner with stakeholders to translate requirements into scalable solutions while supporting data quality, governance, and continuous improvement across Investment Data.

Own strategic ASX100 cybersecurity accounts from pipeline creation through deal closure. Build relationships with executive stakeholders, identify opportunities, lead proof-of-concept projects, manage partner collaboration, negotiate commercial agreements, and achieve sales targets. The role requires self-sourced pipeline development, full-cycle enterprise cybersecurity sales experience, strong communication, strategic account planning, and a hunter mentality.

Develop and improve data and AI governance frameworks, translate policies into practical guidance, deliver data and AI literacy programs, and advise cross-functional teams on responsible AI, privacy, risk, transparency, bias, and regulatory compliance. The role partners with Product, Security, Privacy, Regulatory, Risk, and engineering teams to implement governance across Xero.

Lead nbn’s enterprise-wide Responsible AI strategy, roadmap, governance framework, policies, and controls. Chair the AI Risk Council, oversee AI risk management, support regulatory compliance, and embed fairness, transparency, and accountability across the AI lifecycle. The role requires collaboration with senior leaders, government, industry stakeholders, and cross-functional teams to enable safe and responsible AI adoption.

The Account Executive will acquire new business, meet quarterly revenue targets, prospect and qualify leads, present AI-driven cybersecurity solutions, and close complex B2B software deals. The role involves building relationships with information security experts and C-level executives while collaborating with marketing, inside sales, channel teams, technical account managers, subject matter experts, and cyber threat analysts to deliver proofs of value.

Lead the creation of REA’s residential machine learning capability, managing a distributed team across multiple product tribes. Set technical direction, engineering standards, delivery practices, and team ways of working. Provide guidance on ML, data science, data engineering, architecture, evaluation, governance, and operational excellence. Partner with product, design, and AI teams to deliver pragmatic AI/ML products using NLP, LLMs, semantic search, and related technologies.

Administer community events, sponsorships, client gifting, marketing spend, invoices, calendars, trackers, and reporting. Build and send HubSpot product update emails, including segmentation, QA, scheduling, and performance reporting. Coordinate suppliers, partners, content, sales, and customer success teams while maintaining systems that keep marketing activities organized and on schedule.

Provide legal, risk, and governance advice on consultancy, advisory, digital, and infrastructure projects. Responsibilities include contract review and negotiation, dispute management, transaction and compliance support, cyber, data and AI matters, stakeholder collaboration, and employee training. The role also advises senior leadership and manages competing priorities across a fast-paced, matrix organization.

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.

Leads enterprise AI proof-of-concept engagements on ServiceNow, from discovery and scoping through working prototypes and implementation handoff. Partners with executives, sales teams, and AI engineers to identify use cases, design architectures, configure Now Assist and AI agents, integrate enterprise data, define success metrics, and deliver measurable outcomes within short timelines. Builds reusable prompts, agent templates, integration patterns, and reference solutions while advising customers on AI governance and enterprise workflow automation.