Head of AI Product Engineering at MYOB
victoria, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

31 Jan, 27

Salary

45000.0

Posted On

02 Nov, 26

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description
  • Own the engineering of MYOB’s agentic AI products from discovery through to production and ongoing operation, translating product strategy into high-quality customer outcomes.
  • Define the target technical state for MYOB’s AI products in partnership with the GM, Architecture and engineering teams, guiding key architecture, platform and investment decisions.
  • Establish rigorous evaluation frameworks, quality measures and release criteria, balancing accuracy, latency, reliability, safety and cost across production AI services.
  • Define how we source, curate and improve the data that powers our AI, using existing data alongside redesigned product experiences and customer feedback loops to continuously improve AI performance.
  • Embed responsible AI into architecture and product design, including appropriate human oversight, informed consent, clear scope of agent actions, auditability, reversibility, privacy and security.
  • Lead and coach senior technical leaders across AI engineering, data science and software engineering, building strong engineering practices while partnering across Product, Design, Security, Architecture and external AI partners.


Responsibilities
  • Own the engineering of MYOB’s agentic AI products from discovery through to production and ongoing operation, translating product strategy into high-quality customer outcomes.
  • Define the target technical state for MYOB’s AI products in partnership with the GM, Architecture and engineering teams, guiding key architecture, platform and investment decisions.
  • Establish rigorous evaluation frameworks, quality measures and release criteria, balancing accuracy, latency, reliability, safety and cost across production AI services.
  • Define how we source, curate and improve the data that powers our AI, using existing data alongside redesigned product experiences and customer feedback loops to continuously improve AI performance.
  • Embed responsible AI into architecture and product design, including appropriate human oversight, informed consent, clear scope of agent actions, auditability, reversibility, privacy and security.
  • Lead and coach senior technical leaders across AI engineering, data science and software engineering, building strong engineering practices while partnering across Product, Design, Security, Architecture and external AI partners.


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