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About the Role
Join AI Services as a Senior - hands-on - AI Engineer owning complex intelligence and protection workstreams. You will build production-ready products across governed data, backend services, APIs, AI workflows and human review experiences. The role supports business critical Financial Crime Prevention (Fraud, AML), plus employee, customer or operational decisions.
Responsibilities
- Own detailed design, implementation, verification, release and operational readiness for a complex workstream.
- Build reliable contracts connecting source data, events, services, models, agents, user journeys and downstream systems.
- Maintain traceable evidence across entities, facts, signals and review outcomes.
- Ensure missing, stale, denied, incomplete and unavailable information is represented correctly.
- Implement agent boundaries using typed inputs, approved tools, access checks, limits, citations, audit and safe failure.
- Protect sensitive data through least privilege, minimisation, pseudonymisation and controlled disclosure.
- Own versioning, deployment, rollback, recovery, diagnostics, incident support and continuous improvement.
Requirements
- Strong full-stack engineering across backend services, APIs, data stores and modern web applications, using technologies such as Go or Python, SQL, TypeScript, React and Next.js.
- Strong API, event and data-contract design, including identity, entitlements, durable state, audit and recovery.
- Data engineering expertise covering lineage, quality, event time, knowledge time, corrections and purpose-based access.
- Practical graph and investigation engineering across entity resolution, typed relationships, bounded traversal and evidence paths.
- Strong AI service engineering across ML signals, LLMs, RAG, agents, evaluation, monitoring, controls and safe fallbacks.
- Domain experience has featured fraud and financial crime protection.
- Strong judgement about when rules, SQL, conventional ML, graphs or generative AI are the right solution.
- Combine senior delivery ownership with specialist intelligence and protection engineering, making evidence, provenance, uncertainty and limitations clear while preserving human decision authority.
- Help deliver practical AI outcomes while applying Westpac engineering, security, privacy, Responsible AI, risk and operational resilience requirements.
- People remain accountable for design, controls, review and production decisions.
Skills
- Go
- Python
- SQL
- TypeScript
- React
- Next.js
- API design
- Event design
- Data-contract design
- Identity
- Entitlements
- Durable state
- Audit
- Recovery
- Data engineering
- Lineage
- Data quality
- Event time
- Knowledge time
- Corrections
- Purpose-based access
- Graph engineering
- Investigation engineering
- Entity resolution
- Typed relationships
- Bounded traversal
- Evidence paths
- AI service engineering
- ML signals
- LLMs
- RAG
- Agents
- Evaluation
- Monitoring
- Controls
- Safe fallbacks
- Fraud detection
- Financial crime prevention
- Rules-based systems
- Conventional ML
- Graph databases
- Generative AI
Location
- Sydney
- Melbourne
Work Type
- Hybrid Working
Experience Level
- Senior
- Hands-on
About the Company
- 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.
Equal Opportunity
- 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 [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].