AI Engineer

• Be the subject matter expert powering AI enablement across the business.
• Build a library of proven use cases: audit automation, tax research, advisory insights, and more.
• Lead our AI user community: Q&A, show-and-tell sessions.
• Track adoption and impact, and report results to executive leadership.
• Build AI agents and workflows that solve real business problems.
• Keep everything aligned to governance, risk and responsible AI standards.

AI & Digital Tools Adoption Lead

• Support the development of AI/ML requirements
• Represent the client at AI/ML related Defence activities (conferences and working groups)
• Develop AI/ML policy for the certification to support future UAS projects within the client's program of work including RAS at Scale Delivery Model

Artificial Intelligence / Machine Learning Engineer

• Build customer-facing and internal product features end to end.
• Develop web flows, backend APIs, admin tools, dashboards and operational systems.
• Support products across insurance, payments, savings, investing, travel and financial services.
• Work with product, design, mobile and operations teams to launch fast.
• Integrate APIs, handle data flows and improve production reliability.
• Use analytics, feedback and production issues to improve features after launch.
• Help build tools that reduce manual work and improve speed across the business.

Full Stack Software Engineer – AI Neobank App

• Build AI agents, workflows, tools and automations for financial services
• Apply LLMs and automation to practical workflows
• Create AI-assisted experiences for various operations
• Work with product and engineering teams to quickly build products
• Design around key constraints like accuracy and security
• Turn manual processes into AI-enabled systems

Applied AI Engineer

• Build AI-powered workflows, assistants, agents and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
• Work with product and engineering teams to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
• Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
• Prototype quickly, test with users or operators, then productionize what works.
• Improve speed, quality and consistency across workflows using AI where it creates real business value.

Applied AI Engineer – AI Neobank App

• Build and ship Android features using Kotlin.
• Create clean mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product and design to simplify complex user journeys.
• Integrate backend APIs and ensure mobile flows are stable, secure and reliable.
• Improve app performance, crash rate, loading states, responsiveness and memory usage.
• Use analytics, user behaviour and production issues to improve the product.
• Build AI-assisted mobile experiences only where they genuinely improve the user journey.

Mobile Developer – AI Neobank App

Applied AI Engineer – Finance Super App

• Own the end‑to‑end learning design for priority AI learning workstreams, including AI Foundations, role‑based learning and immersive learning experiences across the firm.
• Translate business and capability needs into intentional learning journeys aligned to agreed AI skills frameworks.
• Design and build high-quality learning assets (eLearning, facilitator guides, toolkits and communications) that scale consistently across the firm.
• Partner with Change and business stakeholders to enable learning communities (e.g., AI Champions) with practical resources, facilitation support and upskilling that reinforce learning in the flow of work.
• Lead learning experience (LX) design to ensure journeys are coherent, intuitive, and focused on application and impact — not just awareness.
• Facilitate selectively and coordinate delivery of virtual and in‑person learning experiences, partnering with SMEs and facilitators to ensure quality and relevance.
• Own governance rhythms for assigned learning workstreams, including working groups, reporting, risk/issue tracking and stakeholder updates.
• Partner with Risk & Responsible AI, Firmwide Technology and LLTD teams to ensure content reflects current tools, policies and risk expectations.
• Define and track meaningful learning success measures (participation, feedback, application) and drive continuous improvement through iteration and evidence‑based insights.

AI Learning Experience & Design Lead

• Join a company dedicated to connecting people and technology
• Work on impactful digital technology solutions with a diverse software engineering team
• Contribute to customer requirements through technical design and integration solutions

AI Engineer jobs in Australia

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