Top AI Jobs in Melbourne

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.

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.

Lead design and implementation of large-scale distributed production systems powering generative AI features. Own architecture, mentor engineers, manage technical debt, operationalize ML/LLM models, and collaborate with scientists to productionize research using Python, SQL, Spark/Dask, AWS, and Kubernetes.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

The Clinical Development Analyst specializes in developing and managing Computer-Assisted Coding for healthcare, ensuring alignment with coding standards and compliance, and providing clinical expertise in coding development.

Provide commercial legal support for ANZ sales, professional services and alliances: draft, review and negotiate contracts; support contracting/order processes; partner with privacy, security and compliance; handle contract disputes, compliance with AU/NZ law, training, and cross-regional projects.

Hunts for new-logo enterprise sales opportunities for IFS AI solutions, builds strategic-account pipeline, leads consultative executive discussions, and closes complex $500,000+ ACV deals. The role requires positioning AI value, partnering with regional and solution teams, engaging multiple stakeholders, and applying industry expertise across sectors such as manufacturing, aerospace, energy, construction, and telecom.

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

Research legislation, regulatory guidance, policy changes, and compliance obligations to identify emerging risks and customer needs. Develop structured regulatory content, datasets, obligation summaries, templates, data models, and prototype compliance solutions. Translate complex requirements into practical workflow resources, collaborate with legal, product, and technology teams, and use AI tools to improve research, drafting, and content creation.

Own the medium- and long-term growth strategy for LexisNexis’s Corporate segment across Australia and New Zealand. Use customer, competitor, and market insights to identify opportunities, develop go-to-market plans, and accelerate adoption of legal technology and AI solutions. Partner with product, content, sales, marketing, pricing, and customer success teams to align priorities, influence senior stakeholders, and monitor commercial performance.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

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.

Coordinates the AI Accountability Network’s newsletters, training programs, grants, fellowships, payments, events, communications, and community initiatives. Manages editorial workflows, contractors, applications, logistics, websites, listservs, dashboards, metrics, and stakeholder communications. Supports grant administration, funder reporting, travel, curriculum development, and website publishing while improving processes and tracking program impact.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Own a portfolio of enterprise and growth accounts end-to-end from implementation through adoption, renewal health, and expansion. Resolve and manage customer tickets, validate AI-driven triage, coordinate engineering escalations, drive product adoption, quantify business value, conduct enablement and business reviews, and identify renewal and expansion opportunities. The role combines customer success, technical support, relationship management, and AI-enabled account operations.

Join Welo Data’s Canadian French contributor network for potential remote AI projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s French AI Trainers Network as a flexible contributor supporting annotation, evaluation, and prompt creation projects. Contributors may label text, images, or audio; assess search results, advertisements, and chatbot responses; create prompts for large language models; and ensure cultural and linguistic accuracy. This is a talent community rather than an active opening, with project details and compensation provided when assignments become available.

Build and maintain AI-powered automations, agents, API integrations, and business workflows using tools such as n8n, Zapier, Make, Power Automate, and custom code. Apply LLM APIs to automate administrative and data-processing tasks, while implementing security, testing, documentation, monitoring, and human review. Train staff, support leadership, and identify additional opportunities to reduce costs and save time.

Leads go-to-market efforts for industrial AI capabilities, partnering with sales, presales, R&D, and services teams to qualify opportunities, conduct discovery, design solutions, and deliver demonstrations and proofs of concept. Engages executives and technical stakeholders, advises customers on AI adoption, represents the company at industry events, monitors market trends, and influences product roadmap priorities through customer insights.

Lead the end-to-end product experience across acquisition, onboarding, avatar selection, chat, media generation, and retention. Drive conversion, retention, and LTV through hypotheses, prioritization, A/B testing, and data-informed design. Establish the product’s design direction and design system, lead a multidisciplinary design team, and partner with product, analytics, marketing, engineering, research, and support.

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.

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.

Design and run large-scale LLM evaluation and observability for production AI features: sampling, LLM-as-judge, human-in-the-loop labeling, monitoring, regression detection, and continuous improvement. Build LLM-powered root-cause analysis and recommended fixes, own feedback loops (prompt engineering, labeling, evaluation), enable teams with reusable tooling and docs, and partner with product, data science and people science to map measured quality to customer value.

The role involves delivering Data & AI solutions in marketing, leading client engagements, and developing strategies to enhance customer insights and experiences.

Create high-volume, short-form AI-generated videos from creative briefs, managing prompting, tool selection, iteration, visual direction, and end-to-end production. Build reusable prompt workflows, maintain quality and brand standards, identify safety and copyright risks, and provide structured feedback on AI video tools and model outputs. Stay current with emerging AI video technologies and contribute techniques to Canva’s scalable content production workflows.