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 and coordinate change management for telecom and IS/IT infrastructure: chair CAB, record and assess change requests, manage change schedule and CMDB, ensure risk/rollback plans, drive compliance and continuous improvement, train stakeholders, and reduce incidents related to change.

Design and deploy production AI agents for risk management and payment processing. Translate business problems into end-to-end agent solutions, using orchestration frameworks, prompting, RAG, and fine-tuning. Optimize agent reasoning, tool use, and workflow automation; collaborate with engineering teams to integrate secure systems; and develop evaluation, monitoring, and governance frameworks for reliable AI operations.

Lead Allens’ Innovation & Digital Capability team, setting strategy for legal technology, AI adoption and digital transformation. Identify opportunities with practice and corporate stakeholders, manage AI and digital champion networks, lead change management, and deliver legal operations transformation engagements for clients. Build team capability, advise senior stakeholders, measure commercial impact and ROI, and strengthen the firm’s innovation brand through thought leadership, industry engagement and market-facing initiatives.

Provide commercially focused legal advice across mortgage broking, lending, franchising, technology, data, AI initiatives, privacy, regulatory matters, and corporate activities. Draft and negotiate commercial agreements, advise on legal and regulatory risks, support customer and regulator matters, improve legal processes, and manage external counsel and legal budgets.

Leads public-sector business-process transformation sales strategy and execution, including multi-year growth planning, AI and cloud solution selling, complex deal sponsorship, partner engagement, pipeline management, forecasting, and revenue growth. Builds executive customer relationships, coordinates Microsoft teams, develops tailored success plans, and cultivates an inclusive, high-performing sales culture through coaching, talent development, and accountability.

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.

Leads Antler’s Sydney investment activities, including sourcing and evaluating early-stage founders, supporting Residency participants, shaping portfolio strategy, driving outcomes for selected companies, and voting on the Investment Committee. The role also contributes to Antler’s global partnership and requires strong technology and AI knowledge, an established Australian startup network, capital markets understanding, leadership, and communication skills.

Deliver legal technology, AI-enabled workflows, and eDiscovery services for complex legal matters. Partner with lawyers and clients to design defensible data solutions using platforms such as Relativity, Harvey AI, Mary Technology, and CaseTrace. The role involves technical problem-solving, data analysis, project coordination, client engagement, communicating complex concepts clearly, managing multiple deadlines, and collaborating with multidisciplinary teams.

Leads AbbVie’s ANZ data and AI strategy, overseeing analytics, data science, governance, market intelligence, reporting, data quality, and machine learning initiatives. Builds high-performing teams, drives data literacy and self-service analytics, ensures regulatory compliance, manages budgets and vendors, and partners with commercial, technology, and global teams. The role translates data and AI capabilities into customer engagement, operational efficiency, commercial insights, and measurable business outcomes.

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.

Generate new business opportunities through cold calling, targeted prospecting, social selling, and strategic outreach. Secure qualified meetings for Account Executives, promote company events, meet sales KPIs, collaborate with Sales and Marketing on campaigns, and build relationships with senior decision-makers and customer-facing teams.

Owns and grows strategic channel partnerships across Australia and New Zealand. Develops partner business plans, enables VARs, GSIs, MSSPs, and distributors, drives incentives and pipeline generation, manages executive relationships, and delivers revenue growth through strategic partnerships. The role also supports forecasting, reporting, market insights, and the evolution of Darktrace’s channel strategy for cybersecurity and AI security.

Provides legal and compliance advice across multiple jurisdictions, serving as Data Protection Officer and Legal Compliance Officer. Administers the privacy program, assesses data processing, advises cross-functional teams on global data protection regulations, drafts privacy notices and data processing agreements, manages records of processing activities, evaluates risks, handles data subject requests, and responds to personal data breaches. Drives compliance improvements and collaborates with regional legal teams.

Drive enterprise adoption of Anthropic’s AI products across Australia and New Zealand, owning the full sales cycle from prospecting through close. Build strategic relationships, acquire new accounts, expand existing accounts, negotiate complex agreements, and exceed revenue targets. Develop industry-specific go-to-market strategies, craft tailored AI solutions, collaborate with product and engineering teams, influence the product roadmap, and serve as a trusted advisor to enterprise customers.

Lead teaching, research, curriculum innovation, external engagement, and strategic initiatives in artificial intelligence, business analytics, digital technologies, and responsible AI. The Professor will build the discipline’s research and education capabilities, maintain an international academic reputation, secure external funding, supervise higher degree researchers, mentor academic staff, and develop relationships with industry, government, professional bodies, and communities.

Lead advanced analytics and fraud detection initiatives within the Financial Crimes domain. Develop, deploy, monitor, retrain, and govern machine learning models using large datasets and production-grade MLOps practices. Translate analytical findings into business recommendations, collaborate with Product, Technology, Risk, Fraud Operations, and Engineering teams, evaluate emerging technologies, and mentor data scientists.

Lead Business Analyst responsible for applying AI to business analysis, including prompt and agent design, tooling, requirements, and development handoffs. The role shapes and matures the Business Analysis practice, coaches analysts, improves delivery processes, and creates a structured source of truth for complex insurance product rules. It also involves analyzing migrations, rating logic, and cross-system business rules while facilitating workshops and communicating with technical and executive stakeholders.

Leads enterprise financial planning and performance management, including Board reporting, budgeting, forecasting, five-year planning, investor reporting, capital allocation, and cost management. Partners with executive leadership, Strategy, and the Results Delivery Office to align priorities with delivery. Drives performance measurement, digital and AI-enabled finance transformation, and team development.

Own end-to-end delivery of AI-enabled products from proof of concept through production. Design and connect backend, data, and frontend systems; solve ambiguous client problems; lead workshops and technical discussions; and make pragmatic trade-offs while iterating based on user feedback. The role requires approximately 5–8+ years of product or systems engineering experience, strong AI delivery experience, full-stack capability, client communication skills, and senior-level autonomy.

Conduct market research, competitive benchmarking, industry and business analysis to develop growth strategies and strategic recommendations for technology-sector clients. Prepare market assessments, insights, presentations, proposals, thought leadership, and market intelligence materials. Engage with client leadership through interviews, workshops, and strategy sessions while supporting business development activities.

Leads Canva’s algorithmic strategy and roadmap for content intelligence, discovery, and personalization. Partners with business and engineering leaders to prioritize ML and AI opportunities, drives LLM-powered and real-time personalization experiences, and leads multidisciplinary teams across ML research, engineering, data science, and product management. Translates complex algorithmic concepts into strategic decisions for senior stakeholders while scaling high-impact machine-learning products.

The Enterprise Architect will define technology strategy, roadmaps, target-state architecture, governance, and decision frameworks. They will align clinical and business priorities with scalable solutions, simplify the technology landscape, improve integration, guide vendors, and provide technical leadership across applications, data, cloud, cybersecurity, AI, and digital platforms. The role also requires influencing senior stakeholders and maturing the enterprise architecture capability.

Own customer success for strategic enterprise accounts, guiding deployment to operational adoption, value realization, and Autonomous IT maturity. Develop and execute AI Success Plans, deliver executive reviews, identify and remediate adoption risks, lead cross-functional initiatives, drive expansion, represent customer feedback to product and GTM, and mentor other AI Growth Strategists.

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.