Top AI Jobs in Sydney

Design, build and scale production-ready AI capabilities and applications using Python and modern cloud tech. Collaborate with cross-functional teams to deliver secure, observable, and responsible AI solutions, mentor engineers, drive architecture decisions, and ensure operational excellence across AI platforms.

Lead product direction, roadmaps, and execution for major areas of BJAK's AI Neobank app. Own priorities, standards, launches, and post-launch learning across multiple squads. Coordinate PMs, designers, and engineers; translate regulatory and operational constraints into product decisions; and drive product culture focused on speed, clarity, user value and measurable outcomes.

Own product areas across BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define problems, scope, metrics, roadmaps; work with engineering, design, data, ops, compliance and business; launch features, monitor performance, iterate using data and research; balance speed, UX, business impact and compliance.

As an AI Automation Intern, you will collaborate with leadership to create proof-of-value AI agents focusing on marketing automation and internal operations, delivering tangible results from the start.

The Product Manager will oversee AI-driven product experiences for legal workflows, collaborating with cross-functional teams to enhance user interactions with AI technologies, ensuring intuitive and trustworthy solutions.

The Senior Software Engineer will build AI-powered user experiences, develop frontend and backend services, and integrate AI capabilities into legal workflows, while mentoring engineers and ensuring strong engineering standards.

Build and ship native Android features using Kotlin and modern Android architecture. Collaborate with product and design to create clean financial user journeys, integrate backend APIs, improve performance and reliability, use analytics and debugging to reduce crashes, and implement AI-assisted on-device experiences with TensorFlow Lite where beneficial.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Design clean user flows for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it improves UX.

Lead client engagements to design and implement practical AI governance frameworks, assess AI use cases for risk and compliance, embed governance into AI solution design, facilitate stakeholder workshops, and develop governance artefacts to enable responsible, scalable AI adoption.

Leads complex data analytics and AI engagements focused on risk, compliance, assurance, fraud, wage remediation, governance, and data transformation. Manages client delivery, project budgets, timelines, teams, and stakeholder relationships while designing analytics methodologies and presenting business-focused findings. Contributes to proposals, business development, thought leadership, and practice growth. Coaches consultants and develops practical automation and AI-enabled solutions using SQL, Python, Power BI, Microsoft Fabric, and Azure.

Own the operational backbone of Quantium’s partner ecosystem. Responsibilities include managing partner portals, tracking deal progression, reconciling portal data with HubSpot, maintaining CRM accuracy, invoicing partner funding, tracking rebates and incentives, and managing partner collateral and enablement materials. The role is based in Sydney with hybrid flexibility and supports partnerships and sales operations.

Owns enterprise client portfolios across technical SEO, content strategy, AI search visibility, structured data, reporting, and client communication. Leads Havas Media’s AI visibility practice by developing GEO methodologies, audit frameworks, content standards, zero-click strategies, platform tooling, and reporting templates. Trains the wider team, supports new-business pitches, builds AI-assisted automations, and contributes to thought leadership on AI search.

Lead technical delivery across enterprise AI and digital transformation programs. Architect and deploy AI agents, agentic workflows, and cloud-native platforms using Google Cloud and Vertex AI. Oversee full-stack microservices, Terraform infrastructure, CI/CD, API integrations, and technical governance. Mentor engineering squads, establish quality standards, manage technical risks, and collaborate with product, architecture, portfolio, and pre-sales stakeholders. The role requires extensive software engineering leadership in telecommunications or large-scale digital and retail environments.

Lead approximately 10 engineers building and hardening Quantium’s internal platform for developing, testing, deploying, and improving production-grade AI agents. Guide architecture, infrastructure, integrations, developer experience, technical standards, and platform adoption while coaching engineers and developing technical leaders. Partner with product, engineering, executives, and clients to balance delivery, scalability, quality, and enterprise requirements.

Advises clients on identifying, designing, implementing, and governing AI capabilities across Dynamics 365, Power Platform, SharePoint, and Microsoft 365. The consultant facilitates discovery workshops, translates business needs into AI-enabled solutions, configures Copilot and Copilot Studio, supports AI agents and automations, contributes to proofs of concept, and assists with customer engagement, demonstrations, governance, and pre-sales activities.

Lead Azure cloud and AI platform design, implementation and operation. Build secure, governed landing zones and AI-ready environments, automate via IaC and GitOps, enable developer tooling, design agentic workflows and responsible AI practices, and produce reusable architectures and delivery patterns while advising customers and supporting proposals.

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

Leads the identification, development, testing, and scaling of AI and automation solutions across internal delivery processes and future customer-facing use cases. Builds automated test suites, scripts repetitive workflows, pilots generative AI and agentic tools, creates reusable automation assets, tracks measurable value, and enables teams through training and knowledge sharing. Collaborates with project managers, product owners, process owners, testing communities, and delivery teams to ensure maintainable, responsible, and broadly adopted solutions.

Lead AI-driven innovations for Westlaw’s legal research products, including generative AI, LLM, and agentic capabilities. Conduct legal research, create best-practice examples, develop and refine prompts for Westlaw RAG, evaluate search quality, and collaborate with product, engineering, and Labs teams. Engage customers to understand their needs and incorporate feedback into product development, with a focus on Australian law and litigation-focused lawyers.

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

Lead and mentor a team of engineers to develop AI-driven platforms, architect solutions utilizing LLMs and Deep Learning, and ensure a scalable AI infrastructure.

Design polished mobile-first and web interfaces for BJAK's AI-driven financial products. Create wireframes, flows, prototypes and high-fidelity UI, maintain the design system, collaborate with PMs and engineers, iterate with user feedback, and ensure accessibility, responsiveness and visual consistency.

Lead medium-to-long-term growth strategy for the Corporate segment across ANZ. Use market, customer and competitor insights to identify opportunities, shape go-to-market plans, and align product, sales, marketing, pricing and customer success to accelerate adoption of LexisNexis AI-powered legal solutions.

Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.

Lead the architecture and implementation of a production-grade generative AI media platform. Build reproducible, versioned pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, deploy internal tools, and partner with design to own the technical roadmap and enable creative teams.