AI Operations

2 weeks ago

Toronto, Ontario, Canada Intelliswift - An LTTS Company Full time $120,000 - $180,000 per year

Job Title:
AI Operations (RAIOps) Lead

Location:
Toronto, ON (Hybrid - 3 days/week onsite)

Duration:
11 months

Contract Type:
T4 only

Pay Rate:
$78.47/Hour

Role Overview

  • The Responsible AI Operations (RAIOps) Lead within Client's Wealth Management is responsible for operationalizing Responsible AI practices across the Wealth AI portfolio.
  • This position ensures that AI solutions are ethical, explainable, compliant, and aligned with both regulatory requirements and business objectives.
  • The RAIOps Lead collaborates with cross-functional teams to embed Responsible AI into every stage of the AI lifecycle, from ideation to production.

Key Responsibilities

  • Develop, implement, and maintain Responsible AI frameworks, policies, and controls for Wealth Management in alignment with CDAO and enterprise AI
  • Conduct risk assessments and monitor AI models for bias, drift, and regulatory compliance.
  • Oversee operational reliability, security, and ethical use of AI systems across the AI lifecycle.
  • Collaborate with business, compliance, legal, and technology teams to align AI solutions with organizational guidelines, policies and regulatory expectations.
  • Lead incident management and escalation for AI-related issues.
  • Drive continuous improvement in Responsible AI practices, including automation, monitoring, and reporting.
  • Liaise with Client's Responsible AI, Risk and Governance forums
  • Present use cases for approval to the applicable forums
  • Ensure all risk and responsible AI questionnaires are completed reviewed, submitted and updated on the agreed cadence

Required Skills & Tools

  • Deep knowledge of AI/ML technologies, regulatory standards, and ethical frameworks.
  • Stakeholder management and leadership skills.
  • Proven ability to communicate complex technical concepts to non-technical audiences.
  • Experience with program/project management and team leadership.
  • Technical proficiency in AI/ML operations, monitoring, and automation tools (e.g., MLOps platforms, model monitoring solutions, risk assessment tools).
  • Familiarity with cloud platforms (Azure, AWS, GCP) and data governance tools.
  • Analytical and problem-solving skills, especially in risk mitigation and compliance

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years' experience in AI operations, governance, or risk management within financial services.
  • Demonstrated experience developing and implementing Responsible AI frameworks.
  • Track record of leading cross-functional teams and driving organizational change.
  • Excellent communication and relationship management abilities.

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