Top AI Jobs in Melbourne

The AI Consultant will design and implement AI-driven workflows, develop AI agents, automate processes, and integrate AI systems with third-party platforms, focusing on operational efficiency and support.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

The AI Solution Strategist role involves collaborating with product managers and engineers to develop conversational AI agents, driving customer success and supporting AI initiatives. The position requires strategic thinking, project management, and skills in aligning technical and business teams, while focusing on agent design and performance analytics.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

Design, build, and deploy scalable Generative AI and LLM production applications on GCP. Implement RAG architectures with vector databases, develop high-throughput APIs and microservices, collaborate with cross-functional teams, and apply prompt engineering, model optimization, and performance evaluation to ensure reliable AI solutions.

Lead design and delivery of enterprise-scale generative AI and multi-agent systems. Define reference architectures, RAG and vector knowledge layers, integration fabrics, observability, governance, and Responsible AI frameworks. Assess readiness, build roadmaps, coordinate cross-functional teams, and mentor engineering talent.

Lead design, build, and deploy production-grade Generative AI solutions. Architect and optimise RAG pipelines and vector DBs, integrate AI via secure APIs/microservices, manage prompt lifecycle, implement MLOps/versioning/monitoring, and mentor engineering teams.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

The Mid/Senior AI Cinematic Video Editor will create narrative-driven video content using AI tools, manage production workflows, and ensure visual cohesion.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

Lead presales enterprise architecture for Data/AI and Applications, designing integrated multi-tower solutions (data platforms, GenAI, MLOps, application modernization, cloud, integration, AIOps). Drive account planning, C-suite workshops, bid leadership, value cases, demos, portfolios, and in-contract innovation while coaching teams and ensuring delivery and commercial alignment.

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.

Build and scale AI-powered GTM systems and automations across Sales and Marketing. Design workflows, integrations, and enrichment pipelines to prioritize accounts, improve forecasting and pipeline visibility, automate repetitive processes, and deliver revenue intelligence and dashboards to drive better GTM decisions.

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.

As a Forward Deployed Engineer, you'll lead AI transformation for strategic customers, integrating solutions to enhance customer experience through design, prototypes, and optimizations.

Design and deploy AI/ML solutions on Snowflake, build POCs and pipelines using SQL/Python and partner tools, advise customers and integrators, enable best practices, and collaborate with product and engineering teams.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Develop and optimize backend architecture for a multi-brain AI trading system. Design and implement AI/ML models and workflows, integrate blockchain and smart contracts, build and maintain APIs, databases, and cloud infrastructure, perform code review, testing, debugging and performance optimization, and ensure security, data integrity, and production readiness.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

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

The AI Engineer will develop GenAI applications, oversee production rollouts, advise customers, present at conferences, and collaborate on product roadmaps.

Design, build and maintain automation and AI/LLM integrations to reduce manual work, improve accuracy and security, connect business systems, create dashboards, and enforce governance, documentation and testing so tools are reliable and auditable.