Job Description
/n Description/n /n /n /n
- /n Sydney Location / Hybrid Working. /n /n /n What is the chance? /n At Westpac, we’re building responsible, human-centred AI at enterprise scale — and we’re looking for hands-on AI Engineers who can turn ideas into secure, scalable, production-ready solutions. /n You’ll join our Data, Digital & AI function and work with the Westpac Chief AI Innovation Office to build practical AI capability across technology, data, risk, security, product and business teams. /n This is an engineering-first role for people who can design, code, integrate, test and operationalise AI applications, services, agents and platforms — beyond proofs of concept. /n You’ll bring strong software engineering fundamentals, practical AI/ML experience and the judgement to deliver safely in a complex, regulated enterprise environment. /n

Key Responsibilities
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- Design, build and ship production-ready AI applications, services, agents and internal tools. /n
- Integrate foundation models, ML models, RAG, vector stores and AI services into secure enterprise workflows. /n
- Build pipelines for prompt management, model invocation, grounding, validation and evaluation. /n
- Embed security, privacy, compliance, model risk and responsible AI guardrails from design to delivery. /n
- Build testing, evaluation, monitoring, and feedback loops for quality, performance, safety, and cost. /n
- Optimise latency, reliability, and cost across AI workloads. /n
- Collaborate with product, data, risk, security, and platform teams to clarify requirements, surface trade-offs, and align priorities for delivery. /n /n Essential Ingredients … /n /n




- Hands-on AI engineering experience in large, complex corporate or regulated environments. /n
- Ability to deal effectively with technical and non-technical stakeholders at all levels. /n
- Tertiary qualifications in a relevant technology, engineering, computer science, data or related discipline, or equivalent practical experience. /n
- Strong software engineering background across backend services, APIs and production systems. /n
- Practical experience operationalising LLM, ML or AI services beyond prototypes or academic projects. /n
- Hands-on knowledge of RAG, embeddings, vector databases, orchestration and model evaluation. /n
- Experience with cloud, CI/CD, automated testing, observability and enterprise release practices. /n
- Understanding of prompt design, evaluation, safety testing and responsible AI practices. /n
- Ability to balance experimentation speed with engineering quality and safety. /n
- Comfortable working with diverse stakeholders to triage requests, communicate constraints, and prioritise work based on impact and risk. /n /n Create your future today /n To get started, simply click on the APPLY or APPLY NOW button. /n We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. /n If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website. /n /n /n /n /n

📌 AI Engineer (Sydney)
🏢 Westpac Group
📍 Sydney