Senior Manager, AI Engineering Operations

Overview

• Overseeing the deployment, integration, and ongoing operational management of AI technologies across the organization
• Blending technical insight with strong operational management to ensure AI systems run efficiently
• Creating scalable and highly reliable software systems to support AI development and production operations in a multi-cloud environment
• Guiding the full lifecycle of AI initiatives—from initial deployment through optimization and continuous improvement
• Working cross-functionally to ensure AI capabilities deliver measurable business value
• Developing and executing operational strategies for managing and enhancing enterprise AI systems
• Establishing frameworks, best practices, and governance models to ensure consistent, ethical, and compliant AI operations
• Identifying and mitigating risks associated with AI deployment, model behavior, and system dependencies
• Managing the rollout of AI system updates, model retraining cycles, and platform upgrades
• Ensuring high availability, reliability, and scalability of AI systems across business units
• Leading and mentoring cross-functional teams involved in AI operations, engineering, and support

• Bachelor’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
• 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