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Added 5 months ago
SC
Spécialiste Tests V&V (Intermédiaire)
SII Canada
Montreal, Quebec
- Full-time
Assister l’équipe de conception de l’unité sous test afin de produire les data requis ainsi que la matrices de conformité
Added 3 months ago
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Senior Software Engineer in Test (SDET)
Solink
Remote, Canada
- $115,000 to $147,500 CAD / year
- Full-time
- Remote
…detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational…
Added 3 months ago
U
Technical Lead Data (TGQF)
Ubisoft
Montreal, QC
- Full-time
Minimum of 8 years of experience in software development or data engineering.
Added 3 months ago
RC
Software Engineer
Ribbon Communications
Ottawa, Ontario
- Full-time
· Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience
Added 3 months ago
Staff Software Developer, Capital
ACV
Toronto, Ontario
…Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions…
Added 2 months ago
Software Developer
DRW
Montreal, QC
…powers the collection, transformation, and delivery of market data used by our trading systems. As a member of our team, you will be surrounded by cutting-edge technology and senior…
Added 2 months ago
Data Solutions Engineer
Evismart
Vancouver, BC
"'Is this a CRM admin job?' No. The CRM is where the data problem surfaces first, so it's the first proving ground - but the work is data engineering end to end: cleansing, integration,…
Added 3 months ago
MM
Oliver Wyman - Associate Team Leader; Team Leader; Director-Data and Analytics - Toronto
Marsh McLennan
Remote, Canada
- Full-time
- Remote
Bachelor’s or Master’s degree in a quantitative discipline. Ideally Mathematics, Statistics, Physics, Computer Science, Informatics, Data Science or, Engineering
Added 1 month ago
Principal AI Engineer - Tangerine
Scotiabank
Toronto, ON
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
Added 3 months ago
LT
Data Scientist
Larus Technologies
Ottawa, Ontario
- Full-time
Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
Added 3 months ago
LT
Frontend/UI Developer
Larus Technologies
Ottawa, Ontario
- Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…
Added 1 month ago
Y
Storage Site Reliability Engineer
Yochana
Montreal, QC
- Contract
✅ Automate operational processes and infrastructure tasks using Python
Added 2 months ago
MM
Automation & AI Developer
Martell Media
Kelowna, BC
- Full-time
…Relay.app → MySQL → HubSpot → Slack and find the seam where data broke, not just the immediate error. You design for the next developer and the next two years, not just today’s…
Added 1 month ago
M
Senior Director, Platform
Miovision
Remote, Canada
- Full-time
- Remote
Build a governed, unified entry point for Miovision's strategic capabilities, utilizing adoption data and developer feedback to continuously improve the ecosystem.
Added 1 month ago
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Sr. DevOps Engineer, TD Securities
TD
Toronto, ON
- Full-time
Team up with Architects to ensure environment adjustments interact nicely and that data conversion and other areas meet performance requirements.
Added 1 month ago
Développeur en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
…produits de pointe, avec la contribution de sa division Electrical Engineering Expertise (3E), développant et fournissant des fonctionnalités adaptées aux différents axes techniques de ses…
Added 6 months ago
W
Research Engineer, Sensor Signal Processing
Waabi
Toronto, ON
- $155,000 to $269,000 USD / year
- Full-time
…and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas…
Added 1 month ago
Senior Site Reliability Engineer (SRE)
Tubi - Canada
Toronto, ON
Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges…
Added 1 month ago
C
NPI Hardware Co-op (8 month - January 2027)
Ciena
Ottawa, ON
- Full-time
Use internal Data and Analytics tools to understand test parameters and test limits
Added 1 month ago
Mechanical Engineering Intern Summer 2027
Rocket Lab Corporation
Toronto, ON
As a Mechanical Engineering Intern based at Rocket Lab’s site in Toronto, Canada, you will have the opportunity to support the team responsible for the development, test, and maintenance of…
Added 6 months ago
VA
Senior Technical Analyst - Data Warehouse Developer
Vancouver Airport Authority
Vancouver, British Columbia
- Full-time
We have a full-time opportunity for an innovative Senior Technical Analyst – Data Warehouse Developer. This role will be part of the Advanced Analytics team, seeking a skilled Data…
Added 6 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to…
Added 6 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and…
Added 6 months ago
A
Software Engineering Co-op
Acceldata
Kitchener, Ontario
- Internship
As a Software Engineering Co-op at Acceldata Inc in Canada, you will have the opportunity to work on exciting big data projects and create a Data platform from scratch, learn from…
Added 6 months ago
C
Core Java Developer (contract)
Capgemini
Montreal, Quebec
- Contract

Scotiabank

Principal AI Engineer - Tangerine

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 10, 2026

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.

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.

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More about this job

Responsibilities

Lead the strategy and architecture for trustworthy, personalized agentic AI interfaces and responsible AI governance. Design and implement secure, scalable AI platforms while mentoring engineering teams in responsible AI adoption and evaluation.

Requirements

Requires proven leadership in delivering production-grade LLM applications and deep expertise in Python and MLOps. Candidates must demonstrate experience embedding fairness, transparency, and safety guardrails into AI systems within a regulated environment.

Skills

Responsible AI
Agentic AI
Python
LLM Production
MLOps
System Design
RAG
Vector Search
AI Governance
Microservices
Prompt Safety
Model Risk Management

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
LLM
Agentic AI
Python
Scikit-learn
Pandas
NumPy
Docker
Kubernetes
GCP
Vertex AI
RAG
OAuth 2.0
OpenID Connect
SAML
CI/CD
SR 11-7
NIST AI RMF
EU AI Act
SHAP
LIME
React
Angular
Microservices
Vector Databases
Red-teaming
Bias Detection
Model Risk Management
Event-driven Architecture
Distributed Systems

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