Top AI Jobs in Melbourne

Manage and lead a team of engineers to develop AI-powered security tooling, deliver projects, and mentor junior team members.

Join CommBank's Data Science & AI Talent Community to build AI solutions improving customer outcomes while fostering responsible and ethical use of AI. Positions available range from Data Scientist to Principal Data Scientist, emphasizing collaboration and innovation in a flexible work environment.

The Reserve Engineer maintains and services robotic hardware, responds to failures at client sites, and ensures customer satisfaction. Responsibilities include learning hardware, communicating repairs, and assisting with deployment projects.

Design and build internal AI tooling and automation to support security operations, incident response, and threat hunting. Own infrastructure (Kubernetes, serverless, ETL/data pipelines), partner with product teams to reduce risk, deliver high-quality production code, and mentor engineers.

The Partner Development Executive builds relationships with strategic partners to align SUSE solutions with objectives, drive pipeline and business growth, and enhance SUSE's market presence.

Lead and scale an AI Foundry pre-sales team to deliver high-velocity POCs and accelerators across ServiceNow Platform AI & Data. Operationalize POC processes, ensure architectural quality, mentor architects and engineers, partner with sales, and drive reusable technical assets to increase adoption and revenue.

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.

The role involves being a technical advisor, focusing on AI solutions within GitLab's DevSecOps platform, guiding strategy and value for customers, and leading technical evaluations and workshops.

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

Build and operate Xero's AI platform, focusing on infrastructure for deploying AI agents. Collaborate with teams, ensuring reliable product performance and evolving technology use.

As a Senior Software Engineer, you will develop AI tools, support incident response, maintain infrastructure, and mentor junior engineers.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

The Professor will lead research in neuro-symbolic and trustworthy AI, engage in teaching and curriculum development, and foster national and global partnerships.

The Research Assistant will conduct research on carbon neutral infrastructure, including carbon assessment, structural engineering, and AI applications. They will collaborate with teams, produce technical manuals, and support industry partnerships.

Lead net-new enterprise sales within Banking & Financial Services by owning full sales cycles, developing territory and pipeline, co-selling with hyperscalers and partners, and positioning Iron Mountains digital portfolio (AI, intelligent document processing, workflow automation) to deliver measurable ROI and close high-value deals.

The Solution Sales Executive will drive sales of FICO's platform in financial services, engaging with clients, managing relationships, and collaborating with internal teams to deliver solutions.

The Digital Solution Executive will drive sales of digital solutions, design proposals, and manage complex deal logistics and negotiations.

Lead data quality, metadata and governance initiatives to create trusted, AI-ready data. Define data quality rules, semantic models and metadata structures. Partner with business and technical stakeholders to embed best practices. Improve adoption of governance tools and support integration/optimisation of platforms like Ataccama, Collibra and Databricks.

Work with insurance clients to design and implement AI decision-making frameworks and models, identify AI opportunities, lead engagements, deploy cloud-based data & AI solutions (AWS/GCP/Azure), drive responsible and ethical AI adoption, engage stakeholders, and build internal capabilities across industry sectors.

Work on conversational AI and CX integrations: build workflow/routing solutions, connect systems via APIs, develop serverless functions, design conversational flows, train NLU models, craft prompts, ingest knowledge bases, test and troubleshoot solutions.

The Content Solutions Engineer will act as a subject matter expert in AI and Machine Translation, providing pre-sales support, technical consulting, and collaborating on solution architecture to help clients optimize globalization processes.

Support maintenance and improvement of regulatory compliance content: perform legal research, draft and edit content, update formatting and metadata, conduct quality reviews, manage documentation and workflows, and assist content managers with day-to-day operational tasks across jurisdictions.

Work lawyer-to-lawyer with senior legal stakeholders to drive adoption of LexisNexis Protege, translating workflow priorities into AI-enabled solutions, delivering demonstrations, supporting pre- and post-sales pursuits, capturing customer insights in CRM, and partnering with Relationship Managers to grow engagement and create new business opportunities.

Validate and improve AI-generated legal and regulatory compliance outputs through legal research, testing, identifying gaps and edge cases, and providing structured feedback to product, engineering and data science teams. Support prompt design, evaluation frameworks, training data, taxonomy and metadata, and work across Australian, UK and global regulatory environments to enhance AI accuracy and customer outcomes.