Top AI Jobs in Sydney

The AI Architect will lead Generative AI projects by overseeing solution architecture, managing development lifecycles, and ensuring operational stability on Google Cloud. The role involves aligning AI solutions with client KPIs and requires strong technical and communication skills.

The role involves building and maintaining production-grade ML systems, transitioning models from research to production, and collaborating with data scientists to ensure compliance and scalability.

Join the TMT practice as a Senior Associate or Associate, focusing on cyber, data, and AI law, advising clients on regulatory issues and incident responses.

Join the AI Research & Experience team to build AI Coach, enhancing workplace engagement through ML/AI systems in real-world applications.

As a Front-End Developer, you will design user interfaces for AI solutions, collaborate on integration with emerging technologies, and ensure best practices in accessibility and UX design.

As a Data Engineer at Kyndryl, you will design and implement scalable data platforms, build ETL pipelines, ensure data governance, and collaborate with teams to deliver AI-driven data solutions. You'll also mentor junior engineers and drive DataOps best practices.

The Executive Manager, AI DevSecOps leads system engineering teams to deliver secure AI solutions, ensures compliance, and fosters a high-performing culture.

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

The Vice President will drive revenue growth and product adoption across retail and marketplaces, leading product specialists and managing key commercial relationships in Australasia.

Lead AI R&D capability at ClickView, establish experimentation processes, optimize video production workflows, and implement AI-driven changes across teams.

As an Agentic AI Software Engineer, you'll implement LLMs, develop agent behaviors and workflows, and optimize model performance in a fast-paced environment.

As an Agentic AI Architect, lead the design of enterprise-scale AI platforms, focusing on distributed systems, orchestration, model strategy, and operational monitoring.

As a Senior Engineer, you will develop and implement AI systems, create data pipelines, and partner with teams to enhance employee experience using AI technologies.

The AI Engineer - FDE will develop GenAI solutions, manage production rollouts, and collaborate cross-functionally with multiple teams to shape AI product strategies and priorities.

As a Software Engineer at NinjaTech AI, you'll develop intelligent web applications using React, Next.js, and Python. Responsibilities include feature building, performance optimization, API integration, and collaborating with the team to meet user needs.

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

As a Junior AI Engineer, you will design and implement automation and AI solutions, support adoption, and collaborate with teams to drive efficiencies.

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 Agentic AI Architect will lead the design of enterprise-scale AI platforms, integrate Agentic AI capabilities, and ensure system quality for scalable cloud solutions.

The Senior Product Manager is responsible for client relationship management, product strategy, roadmap development, and ensuring feature delivery in healthcare applications using League's platform.

Lead and coordinate internal AI adoption by identifying high-impact use cases, owning AI initiative roadmaps, liaising between business and technical teams, embedding AI into transformation programs, ensuring governance and risk alignment, driving change management, and tracking value and benefits realization.

The Marketing Specialist will execute multi-channel AI-driven marketing campaigns, create engaging content, analyze performance, and collaborate with teams to optimize user journeys.

The AI Engineer will optimize AI infrastructure, develop platform services for AI features, implement LLMOps, and ensure compliance and security in AI usage.

The Generative AI Engineer will design, build, and deploy AI workflows on AWS, modernize systems, and collaborate with teams to enhance engineering and compliance processes.

The Principal Software Engineer will design and prototype AI/ML solutions, provide architectural guidance, and mentor engineering teams to apply innovative technologies across the Objective suite.