About the roleSenior Manager, AI Engineering Operations – reporting to the VP of technology strategy and data – leads the deployment, integration, and ongoing operational management of AI technologies across the organization. The role blends technical insight with robust operational leadership to ensure AI systems run efficiently, remain aligned with evolving business goals, and consistently meet compliance and ethical standards. Key ResponsibilitiesOperational Strategy & Governance:Develop and execute 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; ensure AI systemscomply with evolving policies and guidelines. AI System Management:Oversee installation, configuration, maintenance, and performance optimization of AI models and applications; manage rollout ofsystem updates, model retraining cycles, and platform upgrades; ensure high availability, reliability, and scalability of AI systems across business units. Cross-Functional Collaboration:Work closely with IT, data science, engineering, cybersecurity, compliance, data governance, and business stakeholders to ensure seamless AI integration; collaborate with the AIBusiness Strategy team to estimate, track, and expand business value; coordinate 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. Leadership & Team Development:Lead and mentor cross‑functional teams involved in AI operations, engineering, and support; champion adoptionof AIoperational best practices across the organization; foster a culture of innovation, continuous improvement, and responsible AI use.



Key Success Metrics:Production model uptime and reliability; time to deploy and rollback models; reduction in model incidents and failures. QualificationsBachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Data Science, Engineering, or a related field. 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. Experience with Agile methodology 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 with AI platform adoption and reuse across teams. ITIL framework knowledge. Benefits and CompensationCompetitive base salary range of $130,000 – $140,000 per year with an annual incentive bonus tied to performance. Comprehensive health and dental coverage through Manulife and virtual healthcare through Dialogue. Group Retirement Savings Plan with up to 7% employer match. Education assistance, gym access, and additional wellness and family support benefits. Hybrid work model and generous vacation policy. Equal OpportunityFairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who identify as Aboriginal, members of visible minorities, and disabled are encouraged to apply with confidence.#J-18808-Ljbffr

📌 Senior Manager, Ai Engineering Operations - $130,000 - $140,000 A Year (Toronto)
🏢 Fairstone
📍 Toronto