Top AI Jobs in Melbourne

Lead a small AI engineering team to design, build and productionise ML systems focused on LLMs and foundation models. Develop AI features (document understanding, forecasting, conversational interfaces), implement MLOps (CI/CD, model versioning, monitoring), and deploy scalable, safe solutions on AWS (SageMaker, Bedrock, S3).

Lead and build end-to-end AI systems focused on LLMs and foundation models for small business features (document understanding, forecasting, conversational interfaces). Design, deploy, scale, and monitor ML models on AWS, establish MLOps best practices, optimize for safety and reliability, and mentor a small team while collaborating with product and engineering stakeholders.

Design, build, and deploy production-grade AI solutions (agents, RAG, MCP servers). Analyse business processes, integrate APIs and cloud platforms, establish prompt engineering and developer standards, manage projects, and upskill client teams.

The Senior AI Engineer will design AI systems, develop machine learning applications, contribute to AI production processes, and collaborate with teams to enhance product efficiency.

The Head of AI Engineering will lead and grow AI capabilities, mentor consultants, support client engagements, and ensure delivery excellence across AI-enabled products.

The Business Development Manager will close new business through relationship-based selling, meet quotas, and effectively manage objections while collaborating with the account team.

As a Strategy Consultant, you'll lead engagements on AI and emerging technologies, shaping client propositions and managing cross-functional teams through ambiguous projects.

Lead human-centric change and adoption for enterprise AI programs. Design and implement change strategies, stakeholder engagement, learning pathways, communication plans, and adoption metrics to drive measurable uptake across geographically dispersed teams.

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.

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.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

Lead design and implementation of AFCA's AI governance and assurance framework. Establish AI lifecycle assurance, conduct technical risk assessments, define governance standards and evaluation methods, maintain AI inventory and risk register, report to executives, and uplift organisation-wide AI governance capability.

Design, implement, and optimize AI-powered workflows and integrations across HubSpot, Actionstep, and third-party tools. Automate lead management, client intake, document generation, task assignment, reporting, and maintain integration performance and documentation while collaborating with stakeholders and legal teams.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Lead engineering for an AI-native Web3 product: ship production features, turn AI-assisted prototypes into scalable systems, own architecture/security/quality, direct AI coding agents, define engineering standards, and collaborate with founders on product and technical strategy.

Lead end-to-end solution architecture for data, analytics and AI initiatives. Design scalable, secure cloud data platforms and AI solutions, embed governance and responsible AI, guide delivery teams, manage architectural risk and technical debt, and evolve enterprise data and AI architecture roadmaps and standards.

Lead product strategy and execution for AI and personalisation initiatives. Define vision, prioritise experiments, optimise channel performance, and drive measurable commercial growth through cross-functional collaboration, data-driven decisions, and stakeholder influence.

Contract senior engineer to build Python-based integration libraries and backend logic connecting AI agents to internal APIs and data sources using FastAPI/Pydantic. Collaborate with cross-functional teams to design production-grade tooling and solve evolving integration challenges.

APAC specialist overlay driving growth of Sprinklr's CCaaS and Agentic AI: partner with account teams, create pipeline, lead solution selling, engage senior CX and IT stakeholders, and build partner ecosystem to win complex enterprise deals.

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.

Partner with stakeholders to identify, design, implement and optimise AI-enabled solutions using Microsoft enterprise AI and automation platforms. Translate business requirements into technical designs, perform data preparation and validation, ensure compliance with governance/security/responsible AI, support deployments and operations, monitor performance, and uplift AI literacy across teams.

Design and deliver enterprise-scale AI/ML solutions and architectures. Build production-ready systems using Azure AI stack, LLMs, agent frameworks, AKS, and memory stores; engage technical and business stakeholders to operationalise optimisation, edge, and agentic AI capabilities.

Lead visual storytelling and own the full video and visual production pipeline from concept to final export. Define strategy, create motion and graphic design assets for marketing channels, and execute concepts end-to-end using classic and AI creative tools while working asynchronously in a fast-paced Web3 environment.