Top AI Jobs in Sydney

As an Enterprise Architect, you will shape technology strategy, drive AI innovation, oversee Agile transformations, and engage stakeholders at the highest levels.

The AI Engineer will architect and deploy scalable AI applications, manage workflows, and optimize LLM performance while adopting engineering best practices.

Design and deliver production-grade generative AI platforms on Azure, defining architectures, data pipelines, model orchestration, and deployment. Ensure security, compliance, observability, cost optimization, and operational readiness. Mentor teams, establish guardrails for Responsible AI and governance, and translate proofs-of-concept into scalable enterprise solutions integrated with existing Azure estates.

As a Customer Technology Advisor, you will leverage technical expertise to drive customer solutions, coordinating pre-sales processes and collaborating with partners to deliver innovative technology offerings.

As a Front-End Developer at Kyndryl, you'll design immersive UIs for Agentic AI, collaborate with experts, and work with emerging technologies to enhance user interactions and experiences.

The role involves leading AI and digital capability uplift across RSM, managing AI training programs, building support communities, and tracking adoption metrics.

Develop and deploy AI agents, integrate solutions, evaluate performance, maintain code quality, and collaborate with teams to meet user needs.

The role involves orchestrating content systems and AI enablement through strategic collaboration, workflow mapping, governance, and ensuring high-quality customer experiences in content delivery.

The AI Deployment Strategist will lead AI adoption for customers, collaborating with executives to design roadmaps, deploy solutions, and ensure customer success and expansion opportunities.

Design, build, and optimize scalable data and AI solutions, lead engagements with executives, and mentor teams to drive high-quality outcomes in Data & AI.

Design end-to-end AI experiences for consumer and enterprise contexts: research opportunity areas, prototype agent behaviour and personality, align visual and brand expression, collaborate with frontend and backend engineers, and build testable AI-driven product workflows focused on usability, trust, and adoption.

As a Mid Level AI Models Engineer, you will fine-tune large-scale language models, run experiments, and implement advanced machine learning techniques to improve AI performance and efficiency.

Lead research and development for AI models, solving complex problems in model alignment and performance while mentoring other engineers.

As a Senior AI Engineer, you will design and build backend services for AI-driven products, ensuring performance optimization, security, and reliability while collaborating with other teams.

Lead development and governance of AirTrunk's liquid cooling product for hyperscale data centres. Manage feasibility studies, reference design updates, stakeholder interfacing, technical storytelling, and integration of new technologies into the data centre product while accounting for commercial, operational and legal implications.

Lead design and delivery of enterprise-scale Google Cloud data and AI platforms. Provide strategic advice to senior stakeholders, define architecture and standards, build production-grade ML and agentic AI systems, drive infrastructure automation (Terraform/GitOps), security, and CI/CD, and support pre-sales engagements.

Lead AI development projects, focusing on generative AI solutions and cloud-native engineering. Collaborate with teams to deliver innovative software solutions.

Lead the development of AI-powered learning experiences using large language models, working cross-functionally to create educational tools. Evaluate models, design prompts, and optimize learning outcomes for students and teachers.

Lead and scale the AI Forward Deployed Engineering team, guiding AI/ML transformations, developing executive relationships, and managing key accounts in APJ.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Lead development of AI-enhanced legal research features for litigation lawyers. Conduct and model legal research, design and refine LLM prompts and RAG requirements, evaluate search relevance, collaborate with product, engineering and labs, and engage customers to incorporate feedback into Westlaw AI products.

Design and develop AI agents, integrate solutions, collaborate with teams, maintain evaluation platforms, troubleshoot and produce quality code.

The Senior AI Applied Engineer will design and deliver AI-powered features, improve development tools, and work collaboratively across teams to innovate products.

The Senior Frontend Engineer will lead frontend architecture and development initiatives, focusing on migrating from Angular to React, implementing module federation, and advocating for best practices and AI-assisted development workflows.

The Executive Advisor will lead client engagements in data and AI transformation, build teams, and develop strategies while ensuring high-quality outcomes and commercial performance.