RQ09970 - AI Architect/Designer

12 hours ago

Toronto, Ontario, Canada Flexstaf IT Full time

Must Have:

  • Experience in developing and executing AI adoption strategies for short-term and long-term horizons.
  • Experience in defining and implementing KPI and ROI frameworks to measure business impact and technical success.
  • Experience in designing governance models for AI initiatives, including data strategy, compliance, and responsible AI principles.
  • Experience in assessing business value and technical feasibility of AI use cases to guide prioritization.
  • Experience in designing scalable technical architectures for AI platforms, data pipelines, and integration patterns.
  • Experience in recommending and guiding implementation of cloud-based AI solutions and MLOps practices.

Experience and Skill Set Requirements

AI Strategy & Governance 60%
  • Experience in developing and executing AI adoption strategies for short-term and long-term horizons.
  • Experience in defining and implementing KPI and ROI frameworks to measure business impact and technical success.
  • Experience in designing governance models for AI initiatives, including data strategy, compliance, and responsible AI principles.
  • Experience in assessing business value and technical feasibility of AI use cases to guide prioritization.
  • Ability to guide cultural and operational shifts required for AI adoption, including stakeholder alignment and readiness assessments.
  • Experience in identifying risks (bias, privacy, compliance) and implementing mitigation strategies beyond just governance frameworks.
  • Experience in ensuring adherence to ethical AI standards and regulatory requirements.
  • Ability to evaluate and recommend external AI vendors, platforms, and academic partnerships for accelerating delivery.
  • Strong ability to translate complex AI concepts into clear, actionable insights for senior leadership and non-technical stakeholders.
  • Knowledge of emerging AI trends and ability to assess their relevance for future strategy.
AI Implementation 30%
  • Experience in designing scalable technical architectures for AI platforms, data pipelines, and integration patterns.
  • Experience in recommending and guiding implementation of cloud-based AI solutions and MLOps practices.
  • Experience in collaborating with stakeholders to align technical solutions with business objectives and ensure successful delivery.
Enterprise Architecture 10%
  • Experience in applying enterprise architecture frameworks (TOGAF, Zachman or similar) to align AI initiatives with organizational standards.

    FSIN

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