Senior AI Engineer - AI Innovation Office at Westpac Group
victoria, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

26 Jan, 27

Salary

60000.0

Posted On

28 Oct, 26

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

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


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


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