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About the Role
Lead a major Financial Crime Protection intelligence solution, guiding complete products across data, backend services, APIs, AI, and review experiences. Set solution-level directions while staying close to design, code, testing, and production support. The systems will support authorized decisions without making fraud, AML, employee, customer, or operational decisions.
Responsibilities
- Lead a major Financial Crime Protection intelligence solution from intent through design, build, verification, release, and operation.
- Bring Financial Crime Protection domain-SME thinking into engineering decisions, translating complex fraud, AML, and protection needs into safe, practical production outcomes.
- Set clear boundaries between signals, investigation, human decisions, and actions in other systems.
- Create traceable contracts across source data, events, entities, facts, signals, models, agents, reviews, and downstream systems.
- Ensure missing, stale, denied, incomplete, and unavailable information is reported honestly.
- Enforce agent controls outside the model, with approved bounded tools, access controls, and safe action boundaries.
- Protect sensitive and Highly Protected data through least privilege, minimization, pseudonymization, and controlled disclosure.
- Lead versioned and reversible releases for data contracts, models, embeddings, APIs, and workflows, with tested rollback and recovery.
- Mentor engineers and turn specialist delivery lessons into reusable patterns.
Requirements
- Deep Financial Crime Protection domain-SME experience, with strong practical knowledge of fraud, AML, investigations, intelligence workflows, controls, and human decision-making in a complex regulated environment.
- Expert full-stack engineering across backend services, APIs, data stores, and modern web applications.
- Strong API, event, dataflow, and service-boundary design, including identity, entitlements, state, audit, and recovery.
- Strong data, graph, and investigation engineering covering lineage, time, quality, entity resolution, bounded traversal, and purpose-based access.
- Strong AI service engineering across ML signals, LLMs, RAG, agents, prompt and model evaluation, tool controls, versioning, monitoring, and fallback.
- Strong engineering for accessible human review, including evidence, provenance, uncertainty, approval, disposition, and recovery.
- Sound judgement about when rules, SQL, conventional ML, graphs, or generative AI provide the simplest safe solution.
Skills
- Go
- Python
- SQL
- TypeScript
- React
- Next.js
- ML signals
- LLMs
- RAG
- Agents
- Prompt evaluation
- Model evaluation
- Tool controls
- Versioning
- Monitoring
- Fallback
- API design
- Event design
- Dataflow design
- Service-boundary design
- Identity management
- Entitlements management
- State management
- Audit trails
- Recovery mechanisms
- Data lineage
- Time-series data
- Data quality
- Entity resolution
- Bounded traversal
- Purpose-based access control
- Human review engineering
- Evidence presentation
- Provenance tracking
- Uncertainty quantification
- Approval workflows
- Disposition management
- Rollback and recovery
Location
- Sydney
- Melbourne
Work Type
- Hybrid Working
Experience Level
- Expert
About the Company
- Build intelligence that hits hard on financial crime—while evidence stays traceable and every decision stays human.
- Time to make real impact and protect our customers!
- Join AI Services as the hands-on technical leader for a major Financial Crime Protection intelligence solution.
- You will bring deep Financial Crime Protection domain expertise and build and guide complete products across governed data, backend services, APIs, AI and accessible review experiences.
- Importantly, you will set solution-level directions while staying close to design, code, testing and production support.
- The systems you lead will support authorised decisions without making fraud, AML, employee, customer or operational decisions.
- 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.
- You will lead solution-level engineering for sensitive Financial Crime Protection intelligence outcomes—bringing genuine domain-SME credibility, keeping evidence traceable, tools bounded and human decision authority explicit.
- Let's build AI safety that matters …
Equal Opportunity
- 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 [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].