Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

Email me new jobs Save this search

Added 3 months ago
S
Applied AI Lead - Edmonton
Sia
Edmonton, AB
- Full-time
Proficiency in Python or another relevant language, plus experience with common AI/ML frameworks and at least one major cloud platform (AWS, Azure, or GCP)
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
…steps, so teams can make faster, safer placement decisions with less administrative burden. Today, exacare ai powers more than 2,000 facilities, and is growing…
Added 2 months ago
W
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 2 months ago
CI
AI Engineering Lead (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Toronto Dominion Centre / Design Exchange), Ontario
- Full-time
Mastery of Python and deep experience with AI/ML frameworks, Proven ability to write clean, high-performance, and maintainable code in Python, Java, SQL, and Spark.
Added 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
TA
Gen AI Engineer
Tiger Analytics
Canada
- Full-time
…Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to…
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
Added 2 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
Jesta I.S. builds enterprise retail technology used by apparel and footwear brands with complex, multi-site operations. Our data environment spans ERP and cloud platforms, and our…
Added 2 months ago
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 Group
Montreal, QC
We are present in Paris, Montreal, Luxembourg, Shanghai, New York, and Geneva, with over 800 consultants 🇫🇷🇨🇦🇨🇳🇺🇸🇨🇭.
Added 1 month ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
…algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented…
Added 2 months ago
B
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
…embedding controls in operational and DevOps (CI/CD) practices with a focus on…
Added 2 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
· Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as…
Added 2 months ago
AM
Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Familiarity with Makefiles, scripting languages like perl, python, ruby etc.
Added 2 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
Added 1 month ago
Principal Applied AI/ML Scientist (Auth0 Lab)
Okta
Toronto, ON
We have a lot to teach you about security, auth, developer products and many other things. And we also want to learn from you. Join us to have fun learning and collaborating with a great…
Added 2 months ago
S
Staff Engineer, Computer Vision
Stryker
Burnaby, BC
- $105,300 to $140,450 CAD / year
- Full-time
Experience with Python and/or C++, with CUDA as a plus.
Added 2 months ago
A
Stagiaire en Développement Cloud, Intern Cloud Developer – FCAP
Autodesk
Montreal, QC
- Full-time
Posséder une expérience en développement logiciel backend ou orienté objet, de préférence avec Java ou un langage similaire (Kotlin, C#, Python ou Go).
Added 3 months ago
JC
Machine Learning Engineer - (Computer Vision)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 4 months ago
FI
Principal Engineer - New Initiatives (Founding Platform Engineer)
Fulfillment IQ
Toronto, ON
- Full-time
Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate…
Added 3 months ago
EG
Business Analyst
Emterra Group
Surrey, BC
- Full-time
…organics, and waste that keep our communities clean and safe. With customer service and safety as our focus, we are looking for an energetic and driven employee to support our growing…
Added 3 months ago
SG
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
- Full-time
Establish platform engineering standards across SDKs, templates, CI/CD, testing, infrastructure-as-code, and developer workflows
Added 3 months ago
O
Lead Python Developer
OpenText
Richmond Hill, ON
- Full-time
Software Architecture & Python: Expert-level developer with a strong focus on clean architecture, design patterns, and rigorous testing (unit, integration, etc.). Proficient with Python’s…
Added 2 months ago
BC
Sr. Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
Python required. Familiarity with TypeScript and/or Java.
Added 2 months ago
Digital Architect
Government of Alberta
Edmonton, AB
Experience delivering digital services in agile, product-oriented environments and familiarity with languages such as Python, Java, .NET, or Node.js.

CoreFactor Inc.

AI Engineering Lead (Permanent)

Toronto, ON, Canada
Downtown Toronto (Toronto Dominion Centre / Design Exchange), ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 8+ years of experience in a technology-focused role, with a minimum of 3 years of proven, hands-on experience in building and deploying production-grade fraud use.
Posting language: English
Posted: Aug 11, 2026

Original job description

CoreFactor is searching for an AI Engineering Lead on a full-time/permanent basis for one of our clients in the GTA.

This position is hybrid and requires the successful incumbent to be in the office three (3) times per week.

The Opportunity

We are seeking a forward-thinking AI Engineering Lead to join our innovative team and drive the future of Property & Casualty (P&C) insurance. As an AI Engineering Lead, you will serve as a technical authority and strategic leader in developing and deploying sophisticated AI-powered solutions to drive business value and innovation across the P&C insurance value chain.

You will be instrumental in architecting and leading the implementation of our next-generation AI and data platforms, mentoring a team of talented engineers, and setting the technical direction for AI in this critical domain. You will be at the forefront of technological innovation, leveraging your expertise in data, AI models, and responsible AI to create impactful and scalable applications across underwriting, pricing, claims, and customer experience.

What to Expect

Define and execute the long-term technical strategy for AI-driven business solutions. Lead the architecture and development of scalable, real-time AI systems that address key challenges and opportunities in P&C, from conceptualization to production.
Spearhead the design and implementation of cutting-edge AI solutions using machine learning models (including LLMs, graph neural networks, and computer vision) tailored for key insurance business problems.
As the tech owner of our AI fraud prevention platform, you will oversee the entire workflow from collecting and preparing data to putting models into production.
Act as a lead and mentor to other AI engineers and data scientists. Provide expert technical guidance on complex projects, foster a culture of innovation, and elevate the team's capabilities in building robust AI solutions.
Collaborate with senior leadership, underwriting, claims and other business and product teams to align AI initiatives with overarching business goals. Translate complex business problems into actionable technical strategies.
Stay at the forefront of academic and industry advancements in AI and data engineering. Drive innovation by prototyping and integrating novel techniques and technologies to maintain a competitive edge.

Requirements

Mastery of Python and deep experience with AI/ML frameworks, Proven ability to write clean, high-performance, and maintainable code in Python, Java, SQL, and Spark.
Deep expertise in a wide range of AI/ML techniques. Extensive, hands-on experience building and deploying AI based applications, RAG pipelines, and agent-based workflows.
Extensive hands-on experience architecting and deploying scalable AI solutions on a major cloud platform (Google Cloud or AWS). Deep experience with Google Cloud, including Vertex AI and Gemini, is a significant asset.
AI Integration: Experience designing and working with A2A, MCP, Agentic RAG, and including conventional microservices, and event-drive architecture.
A bachelor's or master's degree in computer science, or Computer/Software Engineering, Data Science, Artificial Intelligence, or a related field; a Ph.D. is a plus.
8+ years of experience in a technology-focused role, with a minimum of 3 years of proven, hands-on experience in building and deploying production-grade fraud use.

Apply About employer

More about this job

Responsibilities

Define and execute the long-term technical strategy for AI-driven business solutions while leading the architecture and development of scalable, real-time AI systems. You will mentor a team of engineers and collaborate with business stakeholders to align AI initiatives with insurance business goals.

Requirements

Requires a bachelor's or master's degree in a technical field and 8+ years of experience in a technology-focused role. Candidates must have extensive hands-on experience building and deploying production-grade AI applications and fraud detection systems.

Skills

Python
Java
SQL
Spark
Machine Learning
LLMs
Graph Neural Networks
Computer Vision
RAG Pipelines
Agent-based Workflows
Google Cloud
AWS
Vertex AI
Gemini
Microservices
Event-driven Architecture

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Python
Java
SQL
Spark
Machine Learning
LLMs
Graph Neural Networks
Computer Vision
RAG
Agentic RAG
Google Cloud
AWS
Vertex AI
Gemini
Microservices
Event-driven Architecture
Fraud Prevention
Insurance
Data Science
Underwriting
Claims
Technical Strategy
Mentorship
Production-grade
Scalable Systems
Data Engineering
Artificial Intelligence
Software Engineering
P&C Insurance

Report this job