Back to jobsResponsible for the successful engineering delivery of the Tangerine AI Platform in alignment with the desired outcomes. Focus is on the AI/ML/Agentic platform capabilities (MLOps/LLMOps pipelines, model training, deployment, monitoring, governance), collaboration across other teams to meet the strategic priorities, while maintaining stability, scalability, and high performance of critical platform capabilities and services
Partners with technology, risk, analytics and business teams, to deliver on the AI platform vision/strategy and create robust technical solutions that support a best in class AI platform
Deliver infrastructure and tooling for scalable model training and inference, Retrieval-Augmented Generation (RAG), context engineering, and intelligent agents
Executes on the strategic platform roadmap, as defined by the Technology and Business leadership team ensuring seamless transition from strategy to technical implementation, and fostering a continuous feedback loop with AI platform consumers (technology and business)
Leads delivery of engineering project initiatives, ensuring proper planning, execution, QA, deployment, and ongoing support
Champions a client-focused engineering culture across their team, prioritizing value delivery, customer experience, and the secure, compliant operation of the AI platform
Collaborates with the data platform team to manage data products, feature stores and other data sources optimized for ML/AI training, inference and agents
Collaborates with AI and Agentic Development team to ensure the Tangerine AI platform supports their success
Leads the design and implementation of Tangerine’s standard AI pipelines—real-time, batch, and hybrid
Drives engineering excellence by promoting best practices in coding, platform architecture, DevOps, CI/CD, observability, test automation, and incident response
Ensures platform resilience and operational preparedness, guaranteeing application reliability through extensive monitoring, proactive issue detection, and detailed root cause analysis for incidents
Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicates the Bank’s risk culture and risk appetite statement throughout their teams
Mentors junior and intermediate engineers and contributes to technical leadership forums to foster a culture of excellence
