Ai Operations
7 days ago
**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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