Top AI Jobs in Sydney

Lead executive-level technical engagements and enterprise presales for Atlassian, define solution strategies, deliver demos and workshops, influence stakeholders, identify expansion opportunities, mentor peers, and drive deal closure and product feedback into roadmap decisions.

Lead design and build of internal AI tooling and automation to improve security operations. Develop ad-hoc incident response and threat-hunting tools, maintain Kubernetes, serverless, and ETL/data pipelines, and partner with product teams to automate patching and risk-mitigation services. Own large-scale log pipelines, mentor junior engineers, and deliver high-quality projects autonomously.

Lead development of internal AI-driven security tools and automation, support incident response with threat-hunting and remediation tooling, maintain Kubernetes/serverless infrastructure and large-scale log/ETL pipelines, identify automation opportunities with engineering teams, drive security outcomes (patching, gateways), and mentor junior engineers.

Lead and grow an engineering team building AI-powered internal security tooling and automation. Drive execution from planning to delivery, build infrastructure (Kubernetes, serverless, ETL), support incident response with threat-hunting tools, and partner with product teams to reduce risk through automation and security services. Mentor engineers and identify opportunities for automation and tooling.

The Senior Product Analyst collaborates with Product Managers and Engineering teams to define and design solutions, facilitating analysis and prioritization while ensuring effective documentation and communication across stakeholders.

Lead design and delivery of AI-driven solutions using language models and vector databases to optimize business accounts. Define AI strategy, architecture and APIs, collaborate cross-functionally, build scalable backend systems, troubleshoot production issues, and drive product roadmaps to improve customer and internal efficiency.

The Principal, Strategic AI Sales role at Braze involves driving business growth in AI by engaging senior customer relationships, enabling sales teams, and collaborating on strategic implementations of AI solutions.

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.

The Account Director manages customer accounts, develops strategies for deployment, forecasts revenue, and supports recruitment while partnering with various teams to enhance product understanding.

The Clinical Development Analyst specializes in developing and managing Computer-Assisted Coding for healthcare, ensuring alignment with coding standards and compliance, and providing clinical expertise in coding development.

The Content Solutions Engineer will support pre-sales engagements by leveraging expertise in AI and MT, design solutions for clients, and manage accounts.

The Head of Navigation Solutions leads the navigation product vertical, driving strategy, resource allocation, and team performance while overseeing R&D, market adoption, and stakeholder collaboration.

The Partner Development Executive builds relationships with strategic partners to align SUSE solutions with objectives, drive pipeline and business growth, and enhance SUSE's market presence.

The role involves designing, building, and deploying Generative AI solutions, contributing to data analytics, and engaging with clients to solve complex business problems.

The role involves conducting research in machine vision for deep visual understanding and multimodal learning, developing deep learning methods, and publishing research findings.

As a Sustainability and Resilience Consultant, you will lead projects assessing climate risks, manage urban resilience, and develop sustainable solutions for public and private sector clients.

Design and deliver end-to-end enterprise AI solutions (predictive ML, GenAI, agentic systems). Lead delivery execution, translate business problems to technical designs, implement production pipelines, ensure ML lifecycle best practices, and act as technical customer lead.

Lead transformation of global FP&A by redesigning planning, reporting and forecasting into scalable, automated processes. Act as deputy to Director Group FP&A, deliver board-ready insights, embed AI/LLMs and automation, own budgeting, consolidation and governance, and mentor finance teams to improve decision-making and commercial outcomes.

The role involves embedding with client teams to improve workflows using AI, create reusable assets, and uplift team capabilities in AI adoption. Responsibilities include redesigning workflows, building custom tools, and providing coaching to enhance productivity and adoption.

The Senior Legal Counsel will work closely with AI and Engineering teams, translating legal complexities into practical solutions, ensuring compliance with AI regulations, and advising on AI-related legal strategies.

As the AI Success Strategist at Zendesk, you will drive AI roadmap delivery, ensuring customer satisfaction and growth through strategic planning and execution of AI initiatives.

Lead Android architecture and infrastructure for Binance mobile apps: design, build, optimize, and maintain high-performance Kotlin/Java applications, create shared libraries and toolchains, collaborate on hybrid JavaScript runtimes, and use profiling and AI-assisted debugging to troubleshoot and improve app performance.

Early-career Data Scientist role in Binance Accelerator Program focused on designing and evaluating AI models to detect P2P scams. Responsibilities include developing CV-based document verification, LLM-based detection and interpretable explanations, image-embedding feature extraction, and collaborating with engineers to optimize detection pipelines and deliver insights.

Design, develop, and optimize high-performance Java backend systems. Contribute to architecture, implement core modules, troubleshoot production issues, perform code reviews, and improve scalability, availability, and reliability of distributed financial or blockchain systems.

Lead data analysis and BI for recommendation, feeds, and growth use cases; deliver analytics, reporting, and end-to-end solutions; prioritize stakeholder requests; partner cross-functionally to deliver high-impact use cases; implement LLM-based agents for analysis, chatbot interaction, and sentiment monitoring; and mentor junior analysts.