Senior Manager, AI Engineering Operations

the Senior Manager of AI Engineering Operations is a strategic and hands-on role responsible for overseeing the deployment, integration, and ongoing operational management of AI technologies across the organization. This role blends technical insight with strong operational management to ensure AI systems run efficiently, remain aligned with evolving business goals, and consistently meet compliance and ethical standards. The manager has the discipline to incorporate aspects of software engineering and apply them to infrastructure and operations challenges. The main goal is to create scalable and highly reliable software systems to support AI development and production operations in a multi-cloud environment.

You will guide the full lifecycle of AI initiatives—from initial deployment through optimization and continuous improvement—and work cross-functionally to ensure AI capabilities deliver measurable business value. Your cross-functional leadership will play a key role in transforming how teams operate through scalable, responsible, and innovative AI solutions.

Develop and execute operational strategies for managing and enhancing enterprise AI systems.

Establish frameworks, best practices, and governance models to ensure consistent, ethical, and compliant AI operations.

Identify and mitigate risks associated with AI deployment, model behavior, and system dependencies.

Ensure AI systems comply with evolving policies and guidelines.

Oversee installation, configuration, maintenance, and performance optimization of AI models and applications.

Manage the rollout of AI system updates, model retraining cycles, and platform upgrades.

Ensure high availability, reliability, and scalability of AI systems across business units.

Work closely with IT, data science, engineering, cybersecurity, compliance, data governance and business stakeholders to ensure seamless AI integration.

Collaborate with the AI Business Strategy team to estimate, track and expand business value.

Coordinate with data teams to ensure proper data pipelines, quality standards, and infrastructure readiness.

Partner with business leaders to align AI capabilities with organizational goals and operational needs.

Lead and mentor cross-functional teams involved in AI operations, engineering, and support.

Champion adoption of AI operational best practices across the organization.

Foster a culture of innovation, continuous improvement, and responsible AI use.

Production model uptime and reliability

Time to deploy and rollback models

Reduction in model incidents and failures

Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Data Science, Engineering , or a related field.

Related Experience:

5-7 years of proven experience managing complex systems or large-scale operations in a corporate environment.

Demonstrated knowledge of AI trends, industry leading practices and pitfalls.

Agile methodology experience is an asset.

Deep understanding of AI/ML models, deployment pipelines, monitoring tools, and operational infrastructure.

Familiarity with cloud platforms, MLOps workflows, data engineering practices, and system integration.

Demonstrated leadership ability with experience managing multidisciplinary teams.

Experience defining operating models, runbooks, and support processes

Strong project management skills with the ability to juggle multiple priorities and deliver results.

Excellent communication skills with an ability to work effectively across technical and non-technical teams.

Strong stakeholder management capabilities and a strategic mindset.

Compliance audit success

AI platform adoption and reuse across teams

ITIL Framework knowledge

Award-Winning Culture: We’re proud to be recognized as a Great Place to Work Canada 2025 and one of Montreal’s Top Employers 2025 by Canada’s Top 100 Employers.

Work-Life Balance: Enjoy flexibility with our hybrid work model designed to support your lifestyle.

Time to Recharge: Generous vacation based on your role, statutory holidays, plus 6 wellness days to prioritize your well-being.

Compensation Package: Competitive base salary plus an annual incentive bonus tied to performance.

Comprehensive Benefits: Robust health and dental coverage through Manulife, as well as virtual healthcare through Dialogue.

Future-Ready Savings: Group Retirement Savings Plan with up to 7% employer match.

Exclusive Perks: Discounts from top retailers via WorkPerks, plus location-based perks like gym memberships and Toronto Bike Share.

On-Site Fitness: Gym access at our London and Montreal offices.

Continuous Growth: Education Assistance Program and Fairstone Academy for training and skill development.

Family Support: Parental leave top-up program to help you during life’s big moments.

Community Impact: One paid volunteer day to give back to causes that matter to you.

For more information on who we are as an employer click here.

Expected base salary range is 130,000$ - 140,000$ , plus the opportunity to earn an annual incentive bonus tied to performance.

This posting is for an existing vacancy within our organization.

Artificial intelligence may be used in parts of the recruitment process.

All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire.

If what you read excites you, we’d like to hear from you! Please submit your application and we’ll contact you if you become selected for first stages of the interview process.

Learn more: https://www.fairstone.ca/en/about/canadian-lender

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If you have a preferred language for communication, please kindly inform us whether you prefer French or English on your application.

Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence.