Is this role right for you? In this role, you will: Responsible 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, Dev

Ops, 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 Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: Required Qualifications: University degree in Computer Engineering / Computer Science / Technology, or relevant work experience 8+ years of Software/Data/ML/AI Engineering experience 2+ years of technology leadership experience, e.g. as a Senior/Staff Engineer Significant experience delivering complex, high-availability ML/AI platforms at scale.

Hands on experience with Machine Learning, Generative AI, Agentic AI, RAG pipelines, and feature stores.

Deep experience with cloud native AI/ML stacks (GCP/Azure/AWS), container orchestration (Kubernetes) and modern AI platforms Knowledge of AI governance, compliance, security and reliability best practices What's in it for you? You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success! You will have access to thousands of online and in-person courses so you can shape your career growth with support from diverse industry leaders.

You will get our help to save for your future and to invest in your total well-being through our Tangerine advantages.

You belong here, and we are equal and uncomplicated.

Bring your true self to work, dress codes don’t apply here.

You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.

📌 Senior AI Engineer - Tangerine (Toronto)
🏢 Tangerine
📍 Toronto