AI Visionary

3 days ago

Melbourne, Victoria, Australia beBeeArtificial Full time $200,000 - $240,000
Key Role in Shaping AI Strategy

The Principal AI Architect will play a pivotal role in shaping the group's artificial intelligence strategy.

This individual will provide leadership on AI technology choices, establish governance frameworks for responsible adoption, and guide prioritisation of AI use cases across the enterprise.

Primary Responsibilities:

  • Technology Leadership: Evaluate, recommend, and standardise AI platforms, with a primary focus on Microsoft technologies, while also considering other leading tools and architectural patterns to ensure scalability, security, and interoperability.
  • Governance & Oversight: Drive AI governance processes, including ethical guidelines, risk management, compliance, and decision-making frameworks for AI deployment.
  • Use Case Prioritisation: Partner with business units to assess, prioritise, and oversee AI initiatives that align with enterprise strategy and deliver measurable value.
  • Strategic Alignment: Set the overall direction for AI adoption, ensuring alignment with corporate goals, digital transformation programmes, and innovation agendas.
  • Stakeholder Engagement: Act as a trusted adviser to executives and cross-functional leaders, facilitating informed decision-making on AI investments.

Required Skills and Qualifications:

  • Technical Expertise: Proven experience designing and implementing AI/ML solutions at enterprise scale. Deep understanding of Microsoft AI technologies. Comprehensive expertise across leading AI, Machine Learning, and Generative AI frameworks and cloud services.
  • Strategic & Leadership Skills: Demonstrated ability to lead cross-functional teams and influence senior stakeholders. Experience developing AI strategies aligned with business goals and digital transformation initiatives.
  • Governance & Risk Management: Experience establishing AI governance frameworks, including ethical guidelines, risk controls, and regulatory compliance.
  • Extensive Real-World Impact: A track record of hands-on experience designing, building, and deploying production-grade Data and AI solutions at scale.
  • Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

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