Find work in Canada.

328,084 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 1 month ago
Sr. Staff AI Full Stack Engineer
Synopsys Inc
Mississauga, ON
Full-time
Advanced proficiency in Python programming for both backend and full stack development.
Added 2 days ago
Senior Security Operations Specialist
CDW
Mississauga, ON
Full-time
Cortex: XDR Engineer or XSIAM Engineer; IBM QRadar Secuity - Certified Administrator, Deployment Professional; SANS: GCIA, GCIH, GSOC; Splunk, Crowdstrike Falcon - CCFA, CCIS, CCFH, CCCS,…
Added 1 day ago
Software Development Manager
EDealer
Canada
Full-time
This role exists because the team is senior and self-directed enough not to need a full-time coordinator, and because we would rather its manager stay close to the work than drift away from…
Added 2 days ago
Sr. Software Dev Engineer, Amazon Customer Service
Amazon
Toronto, ON
- Own the full stack, from Lambda and Fargate-based compute through React frontends.
Added 1 day ago
Software Development Manager
EBlock Inc.
Canada
$160,000 to $180,000 CAD / year
Full-time
This role exists because the team is senior and self-directed enough not to need a full-time coordinator, and because we would rather its manager stay close to the work than drift away from…
Added 2 days ago
Senior Security Operations Specialist
CDW
Mississauga, ON
Full-time
Cortex: XDR Engineer or XSIAM Engineer; IBM QRadar Secuity - Certified Administrator, Deployment Professional; SANS: GCIA, GCIH, GSOC; Splunk, Crowdstrike Falcon - CCFA, CCIS, CCFH, CCCS,…
Added 2 days ago
Staff Software Engineer
Affinity
Remote, Canada
Full-time · Remote
10+ years building and shipping production software as a full-stack engineer, with a track record of technical leadership on ambiguous, high-stakes projects
Added 3 days ago
Sr. Software Engineer - Fullstack
eBay
Toronto, ON
Full-time
We are looking for a Senior Software Engineer – Full Stack with 6+ years of professional software development experience to help build a new, scalable authentication platform.
Added 2 days ago
Sr. Software Engineer (Python, AWS Lambda)
Apptoza Inc.
Toronto, ON
Contract
Role Descriptions: Role: Sr. Software Engineer - Contact Centre Innovation & GenAIThis role offers an exciting opportunity to shape the future of Customers contact center technology and…
Added 4 days ago
Sr. Software Engineer
DNV
Toronto, ON
Full-time
The Senior Software Engineer designs, builds, tests, deploys, and supports scalable software across a modern full-stack, multi-cloud environment. The primary application stack includes…
Added 4 days ago
Tech Consultant - Senior Full-Stack Engineer
NTT DATA North America
Vancouver, BC
Other
NTT Data is looking for a SR. Full- Stack Engineer to join their team in Vancouver, British Columbia.
Added 5 days ago
Sr. Software Engineer, AVP II
State Street
Toronto, ON
Full-time
…largest participants in the industry. The role requires a strong full-stack engineer who can work across rich web functionality, backend services, automated testing, performance…
Added 5 days ago
Sr. Software Engineer, AVP II
State Street
Toronto, ON
Full-time
…largest participants in the industry. The role requires a strong full-stack engineer who can work across rich web functionality, backend services, automated testing, performance…
Added 5 days ago
Software Engineer - Python, AWS Lambda, AI
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We are looking for an experienced and high-performing Full-Stack Software Engineer.
Added 5 days ago
Sr Software Quality Engineer (AI Focused)
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 6 days ago
Sr. Full Stack Software Engineer
Blackpoint Cyber
Remote, Canada
$131,400 to $175,200 CAD / year
Full-time · Remote
The Product Engineering team is growing a small tiger team and is seeking an experienced Senior Full Stack Software Engineer who thrives in a fast-paced, remote environment. In this role,…
Added 23 days ago
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
$165,000 to $175,000 CAD / year
Full-time
…meaningful problems. This is where you come in. As a Senior Software Engineer, Full Stack, you'll design, build, deploy, and operate software solutions across our entire technology stack to…
Added 17 days ago
Senior Security Consultant – Managed Services
CDW
Mississauga, ON
Full-time
…Managed Detection and Response service on Microsoft technology stack, primarily Sentinel and Defender, and act as a subject matter expert. In addition, the Sr Consultant is required to…
Added 19 days ago
Sr Full Stack Engineer
Bevertec
Toronto, ON
$90 to $95 CAD / hour
Contract
Added 19 days ago
Sr. Associate, Front End Developer
Appnovation
Vancouver, BC
Full-time
Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact…
Added 23 days ago
MERN Stack Developer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
We are seeking a Senior Full Stack Software Engineer to help drive the roadmap for our Group Benefits Experience assets, our primary digital gateway for Clients and Members managing their…
Added 23 days ago
Senior Software Development Engineer
BeyondTrust
Canada
Full-time
BeyondTrust is seeking a Sr Software Development Engineer to help build the NHI Governance domain within our Pathfinder products. You will design, build, and operate the full-stack services…
Added 24 days ago
Sr. Software Development Engineer / Principal Software Development Engineer
Workday
Toronto, ON
Full-time
…cost governance, exploring hosting open-source LLMs in our stack, evaluating a potential rewrite of the service in a different language for performance gains, and keeping pace with the…
Added 24 days ago
Sr Full Stack Software Engineer
Patch Tech Staffing
Toronto, ON · Greater Toronto Area, Canada
Contract
Our client is seeking a Senior Full Stack Software Engineer with strong expertise in building scalable APIs, modern web applications, and cloud-native solutions. This role requires hands-on…
Added 24 days ago
Sr. Software Engineer - AI Transformation Hub
Robert Walters
Toronto, ON
$150,000 to $220,000 CAD / year
Full-time
We are seeking a Senior Full Stack Software Engineer to join a growing AI Transformation Hub in Toronto. This is a hands-on engineering role for a strong full stack developer with a…

Tangerine

Principal AI Engineer - Tangerine

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Jul 15, 2026

Apply About employer

Applications open in a new tab.

Original job description

Requisition ID: 267929

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!

Is this role right for you?

Strategy & Responsible AI Governance – Work with the business to define and implement a strategy for trustworthy, personalized natural language and agentic interfaces - embedding fairness, transparency, and accountability from design through deployment
Act as lead engineering partner to translate business requirements into responsible architectural patterns and best practices for agentic AI development, balancing innovation with risk and ethical guardrails
Partner with Data, security, risk, legal, and engineering teams to embed AI-driven resiliency, observability, bias detection, and threat modeling into architecture and governance standards
Champion model risk management practices (e.g., SR 11-7), regulatory alignment, and readiness for emerging AI regulation across the agentic AI portfolio
Architecting a Responsible Agentic Development Platform and Practice
Work as part of a team defining and delivering the strategy, technical components, and guardrail patterns for a responsible agentic AI ecosystem
Design and implement secure, resilient, and compliant AI platforms that integrate with existing enterprise systems, ensuring alignment with risk, ethics, fairness, and regulatory frameworks
Build on knowledge of event-driven architecture, message queues, and distributed systems to build resilient, auditable, and scalable agentic workflows in a secure and compliant manner. – Drive search and retrieval architecture, including vector-based search systems, indexing strategies, and relevance optimization, with attention to provenance, grounding, and hallucination mitigation
Design and embed responsible AI controls - guardrails, content and prompt safety, policy enforcement, explainability, and audit trails - directly into the platform
Manage and iterate on new platform capabilities while balancing the needs of key projects, delivering maintainable, scalable, testable, and easy-to-refactor solutions
Work hands-on and de-risk the critical parts of our complex projects & Evaluation pipelines. The role will be deeply involved in coding, reviewing, red-teaming, and optimizing AI solutions
Mentor and Drive a Responsible 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, evaluation, red-teaming, and observability practices for dynamic orchestration of user journeys
Establish responsible AI review and evaluation practices - fairness testing, bias audits, safety evaluations, and ongoing monitoring - as a standard part of the delivery lifecycle
Champion a culture of excellence, inclusion, and continuous learning within the team. When something breaks, you're not satisfied with a workaround. You dig until you understand why, and you bring learning and long-term solutions back to the team.

Skills

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Proven experience in AI leadership and delivery roles, with a track record of successfully leading and delivering AI projects - scoping ambiguous problems, communicating trade-offs, and iterating based on real-world feedback
Demonstrated experience embedding Responsible AI principles (fairness, transparency, accountability, privacy, and safety) into production AI/ML systems
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) with appropriate guardrails and evaluations
Experience with Agentic AI frameworks and designing multi-step AI reasoning processes, including safety, guardrail, and human-in-the-loop design
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
Familiarity with model risk management and AI governance frameworks (e.g., SR 11-7, NIST AI RMF, EU AI Act) and the ability to operationalize them in engineering practice
Proven experience in automated testing and the ability to develop test strategies and design automation frameworks, including evaluation and red-teaming for AI systems
Experience with running benchmarks at scale for model development and evaluation
Strong experience in full-stack fundamentals, system design, and integrations, with demonstrated leadership in designing and managing low-latency microservices at scale with authentication and authorization (OAuth 2.0, OpenID Connect, and SAML).

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 with explainability and interpretability techniques (e.g., SHAP, LIME) and bias/fairness assessment tooling
Experience in fine-tuning LLMs, embedding models, and tackling advanced RAG or agentic use cases. Building pipelines and eval sets to benchmark performance of such solutions is essential.Demonstrated expertise in feature engineering, feature selection, and data transformation techniques for structured and unstructured data – Experience in designing AI observability, monitoring systems, feedback loops, drift detection, and trend analysis
Familiarity with Google's 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)

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.

Apply About employer

More about this job

Responsibilities

The Principal AI Engineer will work on defining and implementing a strategy for trustworthy AI interfaces while collaborating with various teams to ensure compliance with ethical standards. They will also mentor teams and drive a culture of responsible AI engineering.

Requirements

Candidates should have proven experience in AI leadership roles and embedding Responsible AI principles into production systems. Extensive knowledge of Python and experience with LLM applications, MLOps, and automated testing are also required.

Skills

AI Leadership
Responsible AI Principles
Python
Data Science Libraries
LLM-Powered Applications
Agentic AI Frameworks
MLOps Principles
Automated Testing
Microservices
Machine Learning Algorithms
Explainability Techniques
Feature Engineering
AI Observability
Cloud Platforms
Containerization
Web Component Frameworks

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Python
Data Science
MLOps
LLM
Agentic AI
Automated Testing
Microservices
Cloud Computing
Docker
Kubernetes
Event-Driven Architecture
Bias Detection
Regulatory Compliance
Observability
Ethics
Fairness
Transparency
Accountability
Security
Risk Management
Data Transformation
Feature Engineering
Explainability
Monitoring Systems
Feedback Loops
Drift Detection
Web Development
React

Report this job