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.

Provide privacy legal advice across the Australian business, develop and implement privacy policies and training, conduct PIAs, audits and incident responses, coordinate with Risk/Data teams and international privacy functions, and manage privacy compliance through reforms and corrective actions.

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.

Develop and apply computational methods to analyse spatial omics and histology data from kidney biopsies, integrate imaging and molecular data to study tissue spatial patterns related to graft health, collaborate with clinicians, mentor students, and produce publications and conference presentations.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

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

Drive process improvements and build automated, insight-driven solutions to improve quality, assurance, and compliance. Convert manual data collection and reporting to automated dashboards and workflows using AI, Power BI, Power Platform, and RPA. Partner with operational stakeholders to translate needs into practical technology-enabled improvements and support continuous improvement across the business unit.

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.

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 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.

Design, develop, and deliver next-generation industrial automation software using AI and real-time systems. Collaborate with architecture, UX, R&D, and customers across the product lifecycle, perform code reviews, testing, performance optimization, and support global integrations to improve process control and automation outcomes.

Act as a trusted adviser to FMCG clients, manage a client portfolio, deliver data-driven analytics for pricing, promotions, category management and brand strategy, coordinate cross-functional delivery, build stakeholder relationships, and support team development and technical capability.

The role involves being a technical advisor, focusing on AI solutions within GitLab's DevSecOps platform, guiding strategy and value for customers, and leading technical evaluations and workshops.

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.

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 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.

Lead Unilever's strategic workforce planning capability by designing AI-enabled planning tools and agents, linking workforce, skills, capacity, automation and finance. Build scenario models, set planning standards, specify data/agent requirements, and ensure outputs connect to hiring, learning, organisation design and cost management.

Lead Unilever's organisation design programmes and AI-enabled design capability. Develop methodology, self-serve tools and agent workflows; support complex restructures; apply organisation analytics; maintain human-in-the-loop governance; partner with data, finance, legal and technology teams; and build People team capability to scale consistent, evidence-based design decisions.

Lead the architecture, governance and adoption of Unilever's workforce digital twin and AI knowledge layer. Define canonical workforce and finance data products, manage integrations, data quality and reconciliation, build retrieval and drift monitoring, and manage vendors to ensure trusted data for People Products and AI-enabled decisioning.

Drive adoption of Microsoft cloud, data, and AI solutions by qualifying opportunities, building business cases, coordinating partners and technical teams, delivering workshops and demos, growing pipeline, and closing deals to meet revenue targets.