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AI Quality Architect
AI Quality ArchitectRESARO SINGAPORE PTE. LTD. • Queenstown, Otago, New Zealand
AI Quality Architect

AI Quality Architect

RESARO SINGAPORE PTE. LTD. • Queenstown, Otago, New Zealand
9 hours ago
Job description

We are looking for an AI Quality Architect , reporting to the Chief Trust Officer.

YOU WILL

  • Lead client projects to develop solution-level AI quality indicators with business / operational, governance and technical stakeholders across a diverse range of mission critical use cases in areas such as law enforcement, defence, health, finance, aviation and public infrastructure.
  • Develop product-based approaches and scalable advisory services to enable clients to set justifiable minimum quality levels and grow the adoption of AI quality indicators within an organisation.
  • Develop the AI quality indicator library that will serve as a foundation for organisations seeking to scale AI adoption and assurance.
  • Work with Resaro’s technical teams to develop automated and scalable ways of testing against quality indicators within Resaro’s Approved Intelligence Platform and integrate their insights into strategic roadmaps.
  • Drive the mapping of quality indicators to global as well as customer-specific governance frameworks, e.g. EU AI Act with standards, NIST RMF, AI Verify, AITA, IEEE 7000 / 8000 etc. and derive minimum levels supporting compliance.
  • Grow the market adoption of Resaro’s quality framework (“AI Solutions Quality Index” (ASQI)), including exploring certification, scalability and product sales pathways.
  • Contribute to activities that grow the acceptance of ASQI framework amongst the open source and governance communities.
  • Serve as the internal expert on the latest advances in AI governance and quality frameworks in the commercial as well as the non-profit sector, with certification schemes, European and international standards and related relevant developments, and condense such knowledge for Resaro’s teams.
  • Mentor colleagues, guiding them in making sense of the AI governance and quality landscapes and building their capabilities in supporting the above tasks.
  • Lead and write project proposals for both private and public sector calls and tenders related to AI governance and quality assessment.

YOU ARE ABLE TO

  • Think from first principles and tackle the most challenging technical and business problems from a multi-disciplinary perspective, e.g., design, engineering, social sciences etc.
  • Lead by example, work with passionate and talented individuals, and forge a diversity of insights and views into a strong shared approach.
  • Communicate in an effective, open, frank and respectful manner across teams in multiple locations.
  • Thrive in a fast-paced environment.
  • Navigate uncertainty by being willing to explore, while remaining laser focused on the mission at hand.
  • YOU HAVE

  • A deep familiarity with well-known AI trustworthiness concepts, regulations, standards and other frameworks from multiple jurisdictions, and an appreciation of their commonalities and differences.
  • A deep understanding of, and recent active participation in, standardisation committees or similar structures.
  • An ability to craft precise and concise language that builds bridges between operational, governance and technical teams.
  • An ability to craft convincing proposals with a stringent and irresistible narrative that responds to a call / tender while making full use of available capabilities and USPs.
  • A broad understanding of different types of AI architectures and their strengths and limitations, with a focus on the discriminative and generative approaches of the past decade.
  • An understanding of relational database design, including the ability to create, and work with, entity relationship diagrams or similar. Advanced SQL syntax knowledge is not needed.
  • NICE TO HAVE

  • Experience with a range of certification pathways based on various kinds of industry standards.
  • Experience with non-AI quality management standards and practices in a variety of industries.
  • Experience in building multi-national partnerships and coalitions, e.g. in response to major funding calls.
  • Experience in hands-on development of AI systems.
  • Exposure to testing of AI systems, in particular using synthetic and / or augmented test data sets.
  • Publications in the area of AI trustworthiness, quality or testing.
  • #J-18808-Ljbffr

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    Ai Architect • Queenstown, Otago, New Zealand

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