Staff AI Platform Engineer - Tangerine

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, 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

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 benefits.
• 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.