Principal AI Engineer Tangerine

Requisition ID: 261887

Tangerine is Canadas leading direct bank. We offer flexible and accessible banking options innovative products and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities and that includes our own internal community. Its important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

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!

Is this role right for you In this role you will:

• Strategy Development
  • Work with the business to define and implement a strategy for personalizing natural language interfaces
  • Act as lead engineering partner to translate business requirements into architectural patterns and best practices for agentic AI development
  • Partner with Data security risk and engineering teams to embed AI-driven resiliency observability and threat modeling into architecture standards

• Architecting Agentic Development Platform and Practice
  • Work as part of a team defining and delivering the strategy and technical components and patterns for an agentic AI ecosystem
  • Design and implement secure resilient and compliant AI platforms that integrate with existing enterprise systems ensuring alignment with risk ethics and regulatory frameworks
  • Build on knowledge of event driven architecture message queues and distributed systems to build resilient and scalable workflows in a secure and compliant manner
  • Drive search and retrieval architecture including vector-based search systems indexing strategies and relevance optimization
  • Architect and implement scalable services and user-facing workflows across frontend and backend using agentic skills and tools
  • Manage and iterate on new platform capabilities while balancing the needs of key projects delivering maintainable scalable testable and easy to refactor
  • Work hands-on and de-risk the critical parts of our complex projects. The role will be deeply involved in coding reviewing and optimizing AI solution

• Mentor and Drive Engineering Culture
  • Inspire and mentor teams across architecture and engineering disciplines cultivating a culture of innovation responsibility and trust in AI adoption.
  • Drive next generation testing and observability practices for dynamic orchestration of user journeys
  • Championing a culture of excellence inclusion and continuous learning within the team. When something breaks youre not satisfied with a workaround. You dig until you understand why and you bring learning and long-term solutions back to the team.

Do you have the skills that will enable you to succeed in this role Wed love to work with you if you have: Required Qualifications:

• Proven experience in AI leadership and delivery roles with a track record of successfully leading and delivering AI projects going through scoping ambiguous problems communicating trade-offs and iterating based on real-world feedback
• Extensive experience in Python and its core data science libraries (e.g. Scikit-learn Pandas NumPy Matplotlib/Seaborn).
• Hands-on experience building and taking LLM-powered applications to production (retrieval agents structured outputs prompt safety)
• Experience with Agentic AI frameworks and designing multi-step AI reasoning processes
• Strong experience in full stack fundamentals and system design and integrations with demonstrated leadership and experience in designing and managing low latency microservices at scale withn authentication and authorization (experience in using OAuth 2.0 OpenID Connect and SAML)
• Experience with MLOps principles and tools for model versioning (e.g. Git) containerization (e.g. Docker) and continuous integration/continuous deployment (CI/CD) of machine learning models
• Proven experience in automated testing and the ability to develop test strategies and design automation frameworks
• Demonstrated expertise in feature engineering feature selection and data transformation techniques for structured and unstructured data

Preferred Qualifications:

• 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
• Experience in Fine Tuning LLMs embedding models and tackling advanced RAG or agentic use cases
• Experienced with building and deploying NLP and voice response applications (including IVR and contact center intelligence)
• Experience in designing AI observability monitoring systems feedback loops and trend analysis
• Familiarity with Googles Vertex AI tech stack
• Experience building applications with modern web component frameworks (such as React & Angular)
• Experience with containerized tooling and cloud platforms (particularly Docker/Docker Compose Kubernetes and GCP)

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

Location(s): Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process please let our Recruitment team know.