Job Description

Australia

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Job Description n

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- Sydney Location / Hybrid Working
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- Move beyond prototypes and help turn bold ideas into secure, scalable enterprise capability.
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Are you ready to help shape how AI is engineered, governed and scaled?

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Westpac is accelerating the future of banking through responsible, human-centred AI. We are looking for a senior, hands-on AI Engineer to complement the Chief AI Innovation Office within Data, Digital & AI, a team shaping how advanced analytics, digital platforms and AI are engineered, governed and scaled across a large and complex enterprise.

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This is an opportunity to bring your technical depth to high-impact work, influence enterprise engineering standards and help teams move promising ideas into reliable production services.

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Your role

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You will design, build, test, harden and operate AI capabilities that are safe, reliable and ready for enterprise use. This is a practitioner role for someone who enjoys solving difficult engineering problems, making thoughtful trade-offs and staying close to the code and production environment.

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You will lead through technical credibility and influence. You will guide others, strengthen reusable engineering patterns and help ensure AI is delivered responsibly from concept through to production.

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Key responsibilities

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- Design, build and ship complex AI platforms, services and products that solve meaningful business problems at enterprise scale.
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- Engineer robust LLM, retrieval-augmented generation, agentic and orchestration solutions, with reliability, evaluation, observability and governance built in from the start.
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- Take AI capabilities from experimentation into production, including testing, deployment, monitoring, incident response and continuous improvement.
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- Lift engineering standards across prompt and context management, model evaluation, security, privacy, compliance and Responsible AI guardrails.
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- Make practical trade-offs across model quality, latency, cost, risk and customer impact in fast-moving delivery environments.
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- Partner with product, platform, data, risk, security and business teams to scale AI safely and sustainably.
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- Review designs and code, mentor engineers and establish reusable patterns that accelerate protected production delivery.
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- Lead technical investigations, root-cause analysis and durable fixes for complex AI system issues.
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Key Ingredients for Success

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- Significant hands-on AI engineering experience gained in a complex corporate, technology or enterprise environment.
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- A strong record of delivering AI, machine learning or LLM-enabled systems that have been deployed, governed, monitored and operated in production.
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- Solid software engineering foundations across Python, APIs, cloud services, distributed systems, CI/CD, automated testing and modern delivery practices.
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- Deep practical experience with LLMs, RAG patterns, embeddings,



agents, evaluation frameworks, orchestration, model lifecycle management and monitoring.
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- Experience embedding safety, privacy, compliance, explainability, reliability and operational risk controls into AI solutions.
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- The ability to shape technical direction, raise engineering standards and bring stakeholders with you through ambiguity and change.
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- Clear communication skills across engineering, product, delivery, risk and senior stakeholder audiences.
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What Success will look like

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- AI solutions progress beyond prototypes to become trusted, secure and production-ready enterprise capabilities.
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- Engineering patterns are clear, reusable and adopted across teams.
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- AI risks are identified and designed out early through strong architecture, governance and operating discipline.
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- Systems are observable, resilient and continuously improved using real usage, feedback and performance data.
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- Engineers around you grow through practical mentoring, thoughtful design review and solid technical examples.
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Does this sound like you?

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We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide added support to welcome our veterans, Indigenous Australians, and neurodiverse community.

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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 .

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📌 Senior AI Engineer - AI Innovation Office (Sydney)
🏢 Westpac Group
📍 Sydney