Top AI Jobs in Melbourne

Drive new customer acquisition and expansion of Microsoft CSP relationships. Identify, qualify, and close Azure, Azure AI, Copilot, and GitHub opportunities while managing the full sales lifecycle. Build executive relationships, lead commercial discussions, develop proposals, negotiate contracts, and coordinate with Microsoft, Telstra, presales, engineering, and delivery teams to create technology solutions for enterprise customers.

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.

Leads APAC-focused ecosystem market development for AI and data center infrastructure. Builds executive relationships across hyperscalers, NeoClouds, data center operators, contractors, integrators, submarine networks, and sovereign AI programs. Identifies market gaps, investment priorities, technology shifts, and growth opportunities, then translates ecosystem intelligence into recommendations for product, business, market, and solution strategy teams. Influences roadmaps and improves alignment across sales organizations without owning direct accounts or short-term sales targets.

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.

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.

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.

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.

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 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.

Contribute to AI data projects through language data annotation, evaluation, and instruction creation. Work remotely with flexible hours to help develop more inclusive and capable AI systems. Applicants must be native or near-native Simplified Chinese speakers living in China, Canada, the United States, or Malaysia, with fluent English, comfort using digital tools, strong attention to detail, and curiosity.

Join Welo Data’s remote contributor network for future AI data projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural or linguistic accuracy review. Contributors must have native or near-native Twi fluency, English proficiency, digital tool comfort, and strong attention to detail. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s Arabic contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary in duration and complexity, with scope, timelines, and compensation provided before participation. Candidates need native or near-native Arabic fluency, English proficiency, digital tool familiarity, and strong attention to detail.

Join a remote Albanian-language AI contributor network supporting flexible annotation, evaluation, and prompt-creation projects. Work may include labeling text, images, or audio; assessing search results, advertisements, and chatbot responses; creating prompts for large language models; and ensuring cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Freelance remote contributors support AI language-data projects through annotation, evaluation, prompt creation, and Korean-to-Chinese machine-transliterated lyric review. Responsibilities include assessing meaning, fluency, naturalness, and accuracy; rating quality against defined criteria; correcting errors; and providing feedback to improve AI systems. Projects are task-based, flexible, and dependent on availability.

Join Welo Data’s global contributor network for flexible, remote AI data 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 review cultural and linguistic accuracy. Native or near-native Javanese fluency, English proficiency, digital tool familiarity, and attention to detail are required. This is a talent community rather than an active job opening.