Description Hybrid work model Sydney or Melbourne Based Data Platforms (DP) is a team of builders creating the foundations that power data and AI across Westpac. We’re at an inflection point as we take AI engineering from experimentation to production —setting the patterns, guardrails and platforms that make AI secure, reliable and scalable across the bank. As an AI Engineer in Westpac’s GBU Data Platforms team, you’ll design, build, deploy and run enterprise-grade AI and Generative AI solutions on strategic platforms used across the bank—owning outcomes from first commit to production operations. This role suits hands-on engineers who thrive on shipping. You’ll build pipelines, APIs and GenAI systems that are secure, resilient and observable —and you’ll lead by example: raising engineering standards, unblocking delivery, and helping others do their best work. You’ll help shape Westpac’s growing Enterprise AI capability by influencing technical direction, establishing repeatable patterns, and building scalable foundations that support critical business functions—partnering closely with product, risk and engineering stakeholders. What you’ll be doing … Design, build and deploy ML and GenAI solutions that solve real problems—taking accountability for delivery, quality and outcomes Engineer scalable batch, streaming and real-time pipelines and APIs on enterprise data platforms with performance and cost in mind Operationalise GenAI systems using modern patterns (prompting, RAG, agents, fine-tuning, LLM integration) with strong evaluation, safety and monitoring Run and support AI in production using MLOps and software engineering best practice (testing, CI/CD, IaC, observability, incident response) Work with large, complex datasets in a highly regulated environment, balancing speed with governance and risk Partner with data scientists, engineers and product teams in Agile delivery squads, translating ambiguous problems into shippable increments Lift the bar through technical leadership : mentoring, code reviews, reusable components, and pragmatic standards that scale What you bring to the AI table… Strong Python and software engineering fundamentals (clean code, testing, design, reviews) Proven track record shipping AI/ML to production and owning reliability, monitoring and ongoing improvements (not just POCs) Hands-on experience with GenAI frameworks and patterns (e.g. LangChain, LlamaIndex, AutoGen, DSPy or similar), including evaluation and RAG quality Experience with cloud platforms (Azure, AWS and/or GCP) and modern delivery tooling ( Docker, Kubernetes, CI/CD ) Ability to lead without authority in Agile enterprise environments —influencing design decisions, aligning stakeholders, and driving work to done Curious, pragmatic and outcome-driven—with the confidence to challenge constructively, unblock others, and raise the engineering bar Why join us? We’re obsessed with becoming our customers’ 1 banking partner for life — and we’re building the AI capability to make that real. At Westpac, you’ll find: Exclusive banking benefits, including employee-only mortgage rates. Flexible work and additional leave options (Culture, Lifestyle and Wellbeing leave) Tailored learning and development to help you grow your AI career. Plenty of opportunities to give back through community and volunteering initiatives. Does this sound like you? To apply, select Apply or Apply NOW and submit your CV and cover letter. We are committed to creating a supportive and inclusive workplace. We welcome applicants of all ages, genders, backgrounds, and abilities, and provide additional support for veterans, Indigenous Australians, and the neurodiverse community. If you require adjustments during the recruitment process, you can find further information and contact details by visiting the “People with Disability and/or needing Accessibility Requirements” page on our website.