AI Program Lead

Raise Workforce; Toronto; Hybrid; CAD 120,000 - 175,000; Full time

Job summary

A staffing and recruiting agency in Toronto is looking for an experienced AI Program Lead to spearhead AI application initiatives. This full-time, permanent role combines remote work with office visits. The ideal candidate will have a strong background in AI/ML, project management, and leadership capabilities. Competitive salary ranges from CA$120,000 to CA$175,000 annually.

Qualifications

• Experience in leading AI/ML projects.
• Strong knowledge of AI/ML concepts, frameworks, and practices.
• Awareness of ethical and regulatory considerations in AI.

Responsibilities

• Refine business challenges into AI-solvable problems.
• Lead technical design, development, and deployment of AI/ML systems.
• Ensure compliance with ethical AI principles.

Skills

Leading AI/ML projects

Technical knowledge of AI and ML

Data literacy

Project management skills

Stakeholder management

Leadership and communication

Education

Post-secondary education in Computer Science, Data Science, or related field

Certifications in Agile, Scrum, or Project Management (e.g., PMP)

Tools

Microsoft 365 Copilot

Azure Machine Learning

Power BI

Job description

Overview

Join to apply for the AI Program Lead role at Raise Workforce.

This is a full-time, permanent position offering a hybrid work model that blends remote work with planned in-office days in Toronto. You will be required to visit the Toronto office sporadically.

We’re Raise, and we’ve joined forces with our client Accerta, who is seeking to hire an AI Program Lead to spearhead their AI application initiatives.

Base pay

CA$120,000.00 / yr - CA$175,000.00 / yr

Location and type

Hybrid working environment, easily accessible downtown Toronto location; Full-time, permanent position

Primary Accountabilities

• Refine business challenges into AI-solvable problems, translate high-level business objectives into concrete AI / ML technical roadmaps, and design robust, scalable, and secure AI solution architectures. This includes selecting appropriate models, platforms, and infrastructure.
• Lead the technical design, development, and deployment of end-to-end AI / ML pipelines and systems. Provide hands-on technical guidance, code reviews, and mentorship to data scientists and ML engineers, ensuring best practices in model development, AI Ops, and system integration.
• Provide deep technical leadership and oversight across the AI / ML lifecycle, from data acquisition and feature engineering to model training, evaluation, deployment (AI Ops), and monitoring. Stay abreast of cutting-edge AI / ML research, tools, and methodologies, driving continuous innovation and technology adoption.
• Lead, mentor, and empower a diverse team of data and automation professionals, AI engineers, and software developers, fostering a culture of technical excellence, collaboration, and continuous learning. Facilitate seamless integration with product, engineering, and business teams to ensure AI solutions meet technical and business requirements.
• Proactively identify and mitigate complex technical risks related to AI model performance, scalability, data governance, and system reliability. Champion ethical AI principles, fairness, transparency, and regulatory compliance throughout the AI solution lifecycle.
• Serve as a key technical liaison and trusted advisor, effectively communicating complex AI concepts, architectural decisions, and project progress to both technical and non-technical stakeholders, including senior leadership.
• Drive the adoption and maturation of AI Ops best practices to ensure efficient, reliable, and scalable deployment, monitoring, and maintenance of AI models in production. Establish rigorous quality assurance processes and performance metrics for AI systems.
• Ensure AI solutions adhere to the highest standards of quality, security, data privacy, and ethical AI guidelines. Drive technical process improvements for AI development and deployment.

Experience & Qualifications

• Post-secondary education in Computer Science, Data Science, or a related field
• Certifications in Agile, Scrum, and / or Project Management (e.g., PMP, PMI-ACP, Certified ScrumMaster) an asset
• Demonstrated capability in leading AI / ML projects and supporting transformational or organization-wide initiatives
• Strong technical knowledge of Artificial Intelligence and Machine Learning concepts, frameworks, and practices
• Demonstrated experience using Microsoft 365 Copilot, Azure Machine Learning, and Power BI
• Data literacy, including understanding of data pipelines, quality, and impact on AI solutions
• Proven project management skills, including the ability to plan, execute, and monitor complex initiatives
• Stakeholder management with the ability to align technical teams and business leaders
• Experience with Agile methodologies (e.g., Scrum, Kanban) to support iterative delivery
• Awareness of ethical and regulatory considerations in AI, including data privacy and responsible AI use
• Strong leadership and communication skills, with the ability to foster collaboration across technical and non-technical teams

About Raise

Raise is an established hiring firm with over 65 years of experience. We are a certified B Corporation and donate 10% of our profits to charity. We encourage diversity and invite all qualified applicants, including people from underrepresented groups, to apply.

Accommodations: Raise has accommodations information available on our accommodations page.

Note: In order to submit candidates for roles, our clients may require personal information to confirm identity and work eligibility. Raise will never ask for personal or banking information unless you have been selected for a job. If you have questions, contact us at [phone] or [e-mail].

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• Staffing and Recruiting

We encourage referrals and look forward to reviewing qualified applicants.