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.