At Tangerine,we’reredefining 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’recommitted 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. Ifyou’rea high performer looking to accelerate your career and reimagine the banking landscape, this is your moment. Let’sshape the future of banking together! If so, come join us and help redefine the Canadian banking landscape! Deliver and Scale Agentic AI Solutions: Work hands-on to de-risk complex problems by writing, reviewing, and operating production-grade AI systems Partner closely with product, data, and engineering stakeholders to deliver AI capabilities that drive tangible outcomes Apply strong fundamentals in structured and unstructured data, distributed systems, and service integration Contribute to architectural discussions, platform capabilities, and evolving best practices for AI development Collaborate with platform and security partners to ensure systems meet enterprise risk, compliance, and operational standards Influence Technical Direction and Engineering Culture Take ambiguous problems and translate them into clear technical solutions, communicating trade-offs and constraints Model a culture of engineering excellence, inclusion, and continuous learning — digging into root causes and sharing durable lessons Mentor peers through code reviews and design discussions,



raising the bar for quality, ownership, and long-term thinking Extensive experience in Python and its core data science libraries (e.G., Hands-on experience building LLM-powered applications — retrieval, agents, structured outputs, prompt safety Hands-on experience building and consuming MCP servers (designing endpoints, schemas, access boundaries) Deep understanding of structured and unstructured data management and their corresponding technologies Proven experience in automated testing, including unit and functional testing, and the ability to develop test strategies and design automation frameworks Experience with Agentic AI frameworks and designing multi-step AI reasoning processes Docker), and continuous integration/continuous deployment (CI/CD) of machine learning models Strong theoretical and practical knowledge of classical machine learning algorithms (e.G., classification, regression, clustering, dimensionality reduction) and their applications in areas such as fraud detection, credit risk scoring, or customer segmentation Experienced with building and deploying NLP and voice response applications (including IVR and contact center intelligence) Familiarity with Google's Vertex AI tech stack Experience building applications with modern web component frameworks (such as React & Angular) 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 will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors. *Tangerine employees participate in Scotiabank’s pension & perks programs (available to permanent employees)

📌 Ai Engineer Senior (H/F) (Toronto)
🏢 Scotiabank
📍 Toronto