Senior AI Engineer - Tangerine at Scotiabank

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM, RAG, MCP Servers, Microservices, OAuth 2.0, OpenID Connect, SAML, Automated Testing, Agentic AI, MLOps, Docker, CI/CD, Vertex AI, React, Angular

Industry

Banking

Description

Requisition ID: 261889 Tangerine is Canada’s 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. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture. Is this role right for you? In this role, you will: Deliver and Scale Agentic AI Solutions: Design, build, and productionize LLM-powered and agentic applications, including retrieval-augmented generation (RAG), multi-step reasoning workflows, structured outputs, and prompt safety Build and consume MCP servers, defining schemas, endpoints, and access boundaries that enable safe, scalable tool use Work hands-on to de-risk complex problems by writing, reviewing, and operating production-grade AI systems Architect Secure, Reliable, and Observable 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 Ensure systems are testable, observable, and resilient, with automated testing and clear operational feedback loops Design and operate secure, low-latency services and microservices with modern authentication and authorization 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 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: Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn) 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) Strong experience in full stack fundamentals and microservices. Production experience with API authentication and authorization (OAuth 2.0, OpenID Connect, and SAML) is required 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 Preferred Qualifications: Experience with Agentic AI frameworks and designing multi-step AI reasoning processes 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 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) 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.

Responsibilities

Design, build, and scale agentic AI solutions and LLM-powered applications including RAG and multi-step reasoning workflows. Architect secure, observable microservices while mentoring peers and influencing the overall engineering culture.