Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 6 months ago
W
(CAN) Senior Manager, Technical Program Management
Walmart
Mississauga, Ontario
- Full-time
…overseeing end-to-end execution of projects, from business case development to implementation and reporting, ensuring projects are completed on time, within scope, and on budget.…
Added 6 months ago
8S
Full Stack Engineer
8090 Solutions Inc
Toronto, ON
- Full-time
We seek an exceptional, full-stack software developer with high technical competency and intellectual curiosity to join our team. To succeed, you must enjoy thinking in systems and…
Added 6 months ago
S
Senior Software Engineer II
SurveyMonkey
Remote, Canada
- $126,400 to $158,000 CAD / year
- Full-time
- Remote
As such, you will be required to work from our Ottawa office up to 1 day per week
Added 6 months ago
F
Senior Security Engineer
FISPAN
Vancouver, British Columbia
- $130,000 to $160,000 CAD / year
- Full-time
Note: This role operates on a hybrid schedule, requiring you to be in the downtown Vancouver office 1–3 days per week
Added 6 months ago
P
Senior Software Engineer, Platform Engineering
PointClickCare
Mississauga, Ontario
- Full-time
Platform Engineering exists to empower product engineering teams to build, deploy, and operate healthcare software faster, more reliably, and more securely. We solve complex…
Added 6 months ago
HM
Senior Backend Engineer (.NET & AI/ML)
HW Management Inc
Vancouver, British Columbia · Toronto, Ontario · Alberta
- $110,000 to $130,000 CAD / year
- Full-time
Apply AI-assisted development tools (GitHub Copilot, Copilot Coding Agent, Copilot Spaces) in day-to-day engineering.
Added 6 months ago
C
AI Engineer
Chubb
Toronto, ON
- Full-time
We are seeking a highly skilled AI Engineer to lead the design, solutioning, and development of scalable, reusable AI-driven core capabilities for our global Finance Transformation program.…
Added 2 months ago
Développeur logiciels - Software Developer
OneSpan
Montreal, QC
A Software Developer in Test (SDET) is a hybrid role that blends software engineering expertise with deep testing skills. SDETs design, develop, and maintain automated test frameworks,…
Added 6 months ago
Software Developer
PolicyAdvisor Brokerage (PAB) Inc.
Oakville, Ontario
Assist in the development, testing, and deployment of new features for our insurance platform.
Added 6 months ago
C
Research Internship (Winter 2027)
Cohere
Remote, Canada
- Internship
- Remote
Contribute to research initiatives that have practical applications in Cohere’s product development.
Added 6 months ago
C
ML/IA Technical Compositor - VFX -- Compositeur technique ML/IA - VFX
Cinesite-Montreal
Montreal, Quebec
- Temporary
Added 6 months ago
S
Senior Site Reliability Engineer
SimCorp
Toronto, Ontario
- Full-time
Flexible working in regular & evening shift on rotational basis and providing weekend or On-Call support as needed · Must have expertise with Microsoft Azure Cloud
Added 6 months ago
Software Developer
PolicyAdvisor Brokerage (PAB) Inc.
Oakville, Ontario
Assist in the development, testing, and deployment of new features for our insurance platform.
Added 6 months ago
IE
Senior Machine Learning Engineer
Index Exchange
Toronto, Ontario
- Full-time
Experienced in software development, deployment, and continuous improvement of complex CI/CD pipelines.
Added 6 months ago
IE
Senior Data Scientist
Index Exchange
Toronto, Ontario
- Full-time
Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism
Added 2 months ago
Field Service Representative
Dark Wolf Solutions
North Bay, Ontario
Must have a current DoD 8570 IA Baseline Certification, IAT Level II (example: Security+ CE, CCNA Security, CYSA+, ect)
Added 3 months ago
OD
Sales Representative - Data Analytics/ Microsoft
OSI Digital
Toronto, Ontario
- $40,000 to $110,000 CAD / year
- Full-time
Added 6 months ago
PD
Principal Technical Artist
Parallel Domain
Vancouver, British Columbia
- Full-time
Added 6 months ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
Experience with agile software development methodologies (e.g., Scrum, Kanban)
Added 5 months ago
CE
Lead Developer
CarltonOne Engagement ULC
Markham, Ontario
- Full-time
8+ years of professional software development experience in modern web platforms
Added 6 months ago
SD
Chercheur Principal - Chimie Computationnelle / Principal Scientist - Computational Chemistry
Sygnature Discovery
Montreal, Quebec
- Full-time
Added 6 months ago
F
Full Stack Engineer, Early Career
Feathery
Remote, Canada
- Full-time
- Remote
Full stack product development (frontend + backend)
Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Mississauga, ON
- Full-time
Actively contribute to software development, both as a hands-on coder and as a reviewer.
Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Remote, Canada
- Full-time
- Remote
Actively contribute to software development, both as a hands-on coder and as a reviewer.
Added 6 months ago
Z
Software Engineer, Backend (All Levels)
Zip
Remote, Canada
- Full-time
- Remote
As a Software Engineer you will be responsible for building Zip’s core products and architecture. You will ship features that will be immediately used by our users, and will work with a…

Chubb

AI Engineer

199 Bay Street, Suite 2500, Toronto, ON, M5L 1E2, Canada

Full-time

Apply on fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 2 - 5 years’ experience in AI Engineering and/or Machine Learning (ML) with a focus on LLMs, with deep expertise in writing, and reviewing production code in Python
Posting language: English
Posted: May 4, 2026

Original job description

KEY OBJECTIVES:

We are seeking a highly skilled AI Engineer to lead the design, solutioning, and development of scalable, reusable AI-driven core capabilities for our global Finance Transformation program. This role sits at the intersection of finance, technology, and governance, enabling the development of intelligent, compliant-by-design solutions that support key Finance functions at a global level.

You will partner closely with cross-functional teams including Finance, IT, Global Analytics, Legal, Compliance, and Risk to deliver secure, scalable, and regulatory-aligned AI solutions across the enterprise.

MAJOR RESPONSIBILITIES:

Lead the architecture, design, and development of AI/ML solutions at a global level to support finance and controllership processes (e.g., close, reconciliation, reporting, anomaly detection etc).
Build scalable, reusable core AI capabilities that can be leveraged across multiple finance use cases and geographies.
Translate business requirements into robust technical solutions, ensuring alignment with enterprise architecture and data strategy.
Collaborate with Finance, IT, Data & Analytics, Legal, Compliance, Security, Enterprise Architecture and Risk teams to design and implement compliant-by-design AI solutions.
Ensure adherence to regulatory requirements, data privacy laws, and internal governance frameworks.
Develop and deploy models using modern AI/ML frameworks; ensure model performance, monitoring, and lifecycle management.
Identify opportunities to automate and optimize finance processes using AI (e.g., intelligent automation, NLP, predictive analytics).
Provide technical leadership and mentorship to junior engineers and cross-functional teams.
Ensure high quality code that meets business objectives, quality standards and development guidelines.
Building reusable pipelines, processes, and tools to streamline LLM and generative AI workflows while driving adoption of MLOps best practices, including CI/CD pipelines, versioning, testing, and model governance.
Manage project stakeholder expectations and issue communications on progress.
React to shifting priorities without compromising deadlines and momentum.
Stay current with emerging AI technologies and assess their applicability within finance and risk-controlled environments.

Qualifications

QUALIFICATIONS:

Must have:
- 2 - 5 years’ experience in AI Engineering and/or Machine Learning (ML) with a focus on LLMs, with deep expertise in writing, and reviewing production code in Python
- Understanding the development lifecycle for LLMs - developing data sets for pre-training, instruction tuning, and preference alignment alongside the modelling techniques for each stage and LLM deployment is as MAJOR plus
- Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale
- Experience building and deploying solutions on cloud platforms (AWS, Azure, or GCP)
- Experience on distributed, high throughput and low latency architectures
- Strong fundamentals in NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Experience building software on top of major container technology (Kubernetes, Docker etc.)
- Knowledge of version control using Jenkins, GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
- Solid understanding of data engineering concepts and working with large-scale datasets
- Experience implementing ML Ops practices and production-grade AI systems
- Familiarity with data privacy, model governance, and responsible AI principles

Nice to have:
- Experience and Knowledge of Finance Domain: Understanding of finance concepts, workflows, or platforms is a strong asset for this role along with Knowledge of financial processes such as close, consolidation, reporting, and audit
- Exposure to regulatory and compliance frameworks (e.g., SOX, GDPR, model risk management)
- Experience with ERP systems (e.g., SAP, Oracle) and finance data ecosystems
- Experience defining system architecture and exploring technical feasibility tradeoffs is a plus
- Strong understanding of AI risk, explainability, and auditability
- Familiarity with end-to-end application development using full stack is a plus
- Experience in P&C insurance is a plus

Key Competencies:
- Strong problem-solving and analytical thinking
- Ability to work across cross-functional and global teams
- Excellent communication and stakeholder management skills
- High attention to governance, risk, and compliance considerations
- Ability to balance innovation with control and scalability

What Success Looks Like:
- Delivery of scalable AI capabilities embedded within finance processes
- Measurable improvements in key KPIS - efficiency, accuracy, and compliance
- Strong adoption of AI solutions across finance teams globally
- Robust governance and audit-ready AI implementations

Chubb Canada does not use artificial intelligence (AI) tools to assess, screen, or select applicants.

At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.

Apply on fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com About employer

More about this job

Responsibilities

Lead the design and development of scalable, compliant AI/ML solutions to optimize global finance and controllership processes. Collaborate with cross-functional teams to implement reusable AI capabilities and MLOps best practices across the enterprise.

Requirements

Requires 2-5 years of experience in AI/ML with deep expertise in Python and LLM frameworks like PyTorch and Transformers. Candidates should have experience with cloud platforms, containerization, and a strong understanding of NLP and data engineering.

Skills

AI Engineering
Machine Learning
Large Language Models
Python
PyTorch
Cloud Platforms
NLP
Kubernetes
Docker
MLOps
Data Engineering
Model Governance
CI/CD
Distributed Architectures
Financial Analysis
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
LLM
Python
PyTorch
Transformers
TRL
DeepSpeed
AWS
Azure
GCP
Kubernetes
Docker
Jenkins
GitHub Actions
GitLab CI
Azure DevOps
MLOps
NLP
Finance Transformation
SOX
GDPR
SAP
Oracle
P&C Insurance
Model Risk Management
CI/CD
Data Privacy
Responsible AI
Distributed Architecture

Report this job

Work requirements

Jobs in Canada