Senior AI Engineer in Toronto

Senior AI Engineer in Toronto

Toronto Full-Time 118800 - 145200 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the engineering of Tangerine's AI platform and deliver innovative tech solutions.
  • Company: Join Canada’s leading digital bank, known for innovation and collaboration.
  • Benefits: Enjoy flexible workspace, competitive pay, and access to thousands of learning courses.
  • Other info: Inclusive culture that values your unique skills and experiences.
  • Why this job: Shape the future of banking with cutting-edge AI technology and a diverse team.
  • Qualifications: 8+ years in AI/ML engineering and strong leadership skills required.

The predicted salary is between 118800 - 145200 $ per year.

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.

The Senior AI Engineer is responsible for the engineering execution and delivery of technology solutions that support Tangerine’s AI platform. This role ensures the timely delivery, quality, resiliency, and operational excellence of AI platform capabilities that support applications, processes and client journeys for Tangerine. The Staff AI Engineer partners closely with business and product leads to align on requirements and priorities, delivering technical solutions that support strategic business outcomes.

In this role, you will:

  • Be responsible for the successful engineering delivery of the Tangerine AI Platform in alignment with the desired outcomes.
  • Focus 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.
  • Partner 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.
  • Execute 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).
  • Lead delivery of engineering project initiatives, ensuring proper planning, execution, QA, deployment, and ongoing support.
  • Champion a client-focused engineering culture across their team, prioritizing value delivery, customer experience, and the secure, compliant operation of the AI platform.
  • Collaborate with the data platform team to manage data products, feature stores and other data sources optimized for ML/AI training, inference and agents.
  • Collaborate with AI and Agentic Development team to ensure the Tangerine AI platform supports their success.
  • Lead the design and implementation of Tangerine’s standard AI pipelines - real-time, batch, and hybrid.
  • Drive engineering excellence by promoting best practices in coding, platform architecture, DevOps, CI/CD, observability, test automation, and incident response.
  • Ensure platform resilience and operational preparedness, guaranteeing application reliability through extensive monitoring, proactive issue detection, and detailed root cause analysis for incidents.
  • Direct day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits.
  • Mentor junior and intermediate engineers and contribute to technical leadership forums to foster a culture of excellence.

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.

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.

Senior AI Engineer in Toronto employer: Tangerine

At Tangerine, we pride ourselves on being Canada's leading digital bank, where innovation and collaboration are at the heart of our culture. Our commitment to employee growth is evident through access to extensive training resources and a supportive environment that values diverse perspectives. With flexible workspaces and a focus on community impact, we empower our team members to thrive both personally and professionally while shaping the future of banking.

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Contact Details:

Tangerine Recruitment Team

We think you need these skills to ace Senior AI Engineer in Toronto

AI/ML Engineering
MLOps
LLMOps
Model Training
Deployment
Monitoring
Governance