Staff AI Platform Engineer - Tangerine

Scotiabank•Toronto, ON

5d•Hybrid

About The Position

At Tangerine, we’re redefining banking. As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of collaboration. Our client-obsessed teams deliver flexible, accessible banking solutions, breakthrough products, and award-winning service. Beyond banking, we’re committed to making an impact in the communities we serve and across our organization. We foster a culture built on integrity, inclusion, and fearless ambition – where diverse perspectives are valued, and people are empowered to do their best work. Are you ready to disrupt the status quo? Do you crave challenges that push boundaries? If you’re a high performer looking to accelerate your career and reimagine the banking landscape, this is your moment. Let’s shape the future of banking together! Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

Requirements

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

Responsibilities

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