Top AI Jobs in Sydney

Lead field-facing AI security strategy for enterprise customers: design secure LLM/RAG architectures, deliver demos and POVs, advise on data protection and Zero Trust, and scale enablement content across sales and product teams.

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.

Lead engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

Act as the technical bridge to enterprise customers: drive technical sales, architect tailored solutions, run demos and trials, troubleshoot network performance, automate workflows, and provide product feedback to shape AI and automation roadmaps.

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 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 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.

Provide commercial legal support for ANZ sales, professional services and alliances: draft, review and negotiate contracts; support contracting/order processes; partner with privacy, security and compliance; handle contract disputes, compliance with AU/NZ law, training, and cross-regional projects.

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

Lead Consulting & Technology across Australia and New Zealand: set sector strategy, drive profitable growth and major pursuits, own sector P&L, champion digital engineering/AI/data analytics integration, build executive client relationships, and develop high‑performing teams and capability.

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.

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

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.

Own client success for Emiri deployments by triaging issues, identifying root causes, coaching commercial teams, configuring and QA-ing client models, testing fixes, and translating user feedback into product enhancements and clear guidance for users and development.

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 strategy and roadmap for hipages' AI infrastructure and front-end core, define AI guardrails and patterns, unify app logic and CMS, embed automated quality gates and observability, and deliver AI-ready front-end architectures tied to business KPIs.

Lead and mentor Azure Cloud & AI sales teams for public sector accounts. Define territory strategy, drive AI/cloud transformation solutions, engage C-suite stakeholders, manage pipeline and forecasting, orchestrate cross-team and partner collaboration, and embed security and compliance into customer engagements while coaching teams to close large, strategic deals.

The Partner AI Deployment Engineer will lead technical engagements with AWS, driving strategies and best practices for deploying Generative AI applications, mentoring partners, and influencing account strategies.

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.