AI Engineer - Intelligence & Protection

Westpac Group; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Job summary

Westpac Group is seeking a hands-on, AI-powered full-stack Engineer for AI Services in Sydney or Melbourne with hybrid working. You will build safe intelligence and protection solutions spanning data, services, APIs, AI workflows and user experiences, keeping evidence, sources and status transparent for authorised human decisions.

You will implement controls, ensure data privacy and quality, and deliver maintainable features with robust testing and diagnostics. Hybrid setup supported.

Qualifications

• Hands-on full-stack engineering across backend services, APIs, data stores and modern web apps.
• Experience with Go or Python, SQL, TypeScript, React and Next.js.
• Knowledge of identity, entitlements, data lineage, access controls and data quality.
• Understanding of graph concepts: entities, relationships, bounded paths, evidence links.
• AI service skills across ML signals, LLMs, RAG, agents, evaluation and safe controls.
• Ability to create clear review experiences showing evidence, sources, uncertainty, status and limitations.

Responsibilities

• Build, test, release and support features across data, services, APIs, AI workflows and user experiences.
• Preserve source references, lineage, access rules, time and data-quality information throughout work.
• Show missing, stale, denied, incomplete and unavailable information clearly.
• Implement approved agent controls and evidence for material claims.
• Protect sensitive information by avoiding unnecessary copying, display or logging of personal data.
• Build automated tests, diagnostics and safe handling of errors, retries and recovery.

Skills

Full-stack engineering

Backend services

APIs

Data stores

Go

Python

SQL

TypeScript

React

Next.js

Identity and data governance

Evidence and review design

AI service skills

Tools

Go

Python

SQL

TypeScript

React

Next.js

Job description

• Sydney or Melbourne Based / Hybrid Working

Build safe intelligence experiences that make evidence, uncertainty and system status clear.

Join AI Services as a hands-on, AI-powered full-stack Engineer building safe intelligence and protection solutions.

You will work across governed data, backend services, APIs, AI workflows and user experience, delivering defined features within established designs and controls.

The systems you build will support authorised human decision-makers rather than make fraud, AML, employee, customer or operational decisions.

• Build, test, release and support features spanning data, services, APIs, AI workflows and user experiences.
• Preserve source references, lineage, access rules, time and data-quality information throughout assigned work.
• Show missing, stale, denied, incomplete and unavailable information honestly and clearly.
• Implement approved agent controls, bounded tools and evidence for material claims.
• Protect sensitive information by avoiding unnecessary copying, display or logging of personal data.
• Build automated tests, useful diagnostics and safe handling of errors, retries and recovery.

Key Ingredients for Success

• Hands-on full-stack engineering experience across backend services, APIs, data stores and modern web applications.
• Experience with technologies such as Go or Python, SQL, TypeScript, React and Next.js.
• Working knowledge of identity, entitlements, durable state, audit, data lineage, data quality and access controls.
• Working understanding of graph concepts including entities, relationships, bounded paths and evidence links.
• AI service skills across ML signals, LLMs, RAG, agents, evaluation, tool controls, monitoring and safe fallback.
• Ability to create clear review experiences showing evidence, sources, uncertainty, status and limitations.

This role combines full-stack delivery with sensitive data, evidence and human-review requirements. You will build systems that inform authorised decisions while keeping decision authority outside the model.

You will help deliver practical AI outcomes while applying Westpac engineering, security, privacy, Responsible AI, risk and operational resilience requirements. Approved AI tools may support delivery, but people remain accountable for design, controls, review and production decisions.

We will be focused on applications that can demonstrate production engineering outcomes delivered, the decisions you owned and how you built safety, reliability and accountability into the work.

Ready to build what matters?

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.

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.