AI Operations (RAIOps) Lead

INTELLISWIFT INC; Toronto; Hybrid; CAD 110,000 - 130,000; Full time

Job summary

A leading technology company is seeking an AI Operations Lead for a hybrid role in Toronto. You will operationalize Responsible AI practices, ensuring ethical AI solutions and compliance with regulatory requirements. The ideal candidate has 5+ years in AI operations, strong leadership skills, and a background in financial services. This position requires a bachelor's or master's degree in a relevant field and offers a pay rate of $78.47/hour for an 11-month contract.

Qualifications

• 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.

Responsibilities

• Develop, implement, and maintain Responsible AI frameworks and policies.
• Conduct risk assessments and monitor AI models for bias and compliance.
• Oversee operational reliability and security of AI systems.

Skills

Deep knowledge of AI/ML technologies

Regulatory standards

Ethical frameworks

Stakeholder management

Leadership skills

Technical proficiency in AI/ML operations

Analytical skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

MLOps platforms

Model monitoring solutions

Risk assessment tools

Azure

AWS

GCP

Job description

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.