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Added 3 months ago
L
Sr. Staff Physical Design Engineer
Lightmatter
Toronto, ON
- Full-time
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
…including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights &…
Added 2 months ago
Ingénieur DevOps / DevOps Engineer
mthree
Montreal, QC
…l’un de nos clients. L’Ingénieur DevOps intégrera l’équipe Data Protection Dev Squad, qui assure l’intégration des plateformes et outils stratégiques de développement applicatif du client…
Added 2 months ago
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Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
Authorization Decisioning combines the power of Mastercard's Decision Management Platform with real-time authorization data to enable intelligent decisioning at scale. The team is focused…
Added 2 months ago
H
Application Support & Automation Analyst (Fixed-Term)
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
…support and lead automation delivery across multiple enterprise engineering platforms. The role combines hands-on technical work, including Python-based automation, DXL audit scripting,…
Added 2 months ago
Manager, Software Development - Onboarding Team
AlayaCare
Montreal, QC
Use engineering efficiency data to find where the team is stuck - low adoption, wasted effort, oversized changes, review bottlenecks - and act on it in planning and one-on-ones.
Added 1 month ago
Staff Security Engineer
Forma.ai
Toronto, ON
Security today is shared across Engineering and DevOps. You'll work closely with both teams and have real room to shape how Forma approaches security as we grow. Depending on your interests…
Added 2 months ago
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Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
…primary deliverable, this is first and foremost a software engineering role requiring deep expertise in backend architecture and distributed systems. You will be responsible for…
Added 2 months ago
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Embedded Systems Engineer - Capture Systems
Peripheral
Toronto, ON
- Full-time
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media…
Added 2 months ago
BC
Construction Innovation Systems Analyst
Bird Construction
Mississauga, ON
- Full-time
Post-secondary education in Computer Science, Software Engineering, Data Analytics, Information Systems, Business Technology Management, Engineering, Construction Technology, or a related…
Added 2 months ago
CI
AI Engineering Lead (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Toronto Dominion Centre / Design Exchange), Ontario
- Full-time
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…
Added 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
Added 3 months ago
TA
Gen AI Engineer
Tiger Analytics
Canada
- Full-time
…skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for…
Added 3 months ago
TH
Sr. Manager, Supply Chain Data, Analytics and Systems, Tim Hortons
Tim Hortons
Toronto, ON
- Full-time
Define and govern supply chain data standards, KPI definitions, and reporting logic to ensure a single source of truth across functions; partner with IT and data engineering to maintain…
Added 1 month ago
Analyst, Business
Aecon
Toronto, ON
Assist with light scripting or coding tasks (e.g., SQL queries, Python for automation support, data preparation).
Added 2 months ago
H(
Sr. Cloud Platform Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
…AI-powered solutions, cloud-native technologies, DevOps/platform engineering tools, and industry best practices to enhance automation, scalability, security, operational efficiency, and…
Added 2 months ago
H(
Sr. Cloud Platform Engineer (Network and Cloud Operations)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
…AI-powered solutions, cloud-native technologies, DevOps/platform engineering tools, and industry best practices to enhance automation, scalability, security, operational efficiency, and…
Added 2 months ago
CS
Senior DevOps Engineer
Canadian Solar Inc.
Kitchener, ON
- Full-time
…of software products. You will work closely with leadership, engineering and project execution teams to streamline the software development lifecycle and enhance the overall productivity…
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
…to be at the cutting edge of machine learning in research, engineering, and impactful…
Added 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or any equivalent quantitative degree from a recognized university
Added 2 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
…and footwear brands with complex, multi-site operations. Our data environment spans ERP and cloud platforms, and our engineering culture is hands-on, pragmatic, and…
Added 2 months ago
M
Manager, Ecommerce Product Analytics
McAfee
Waterloo, ON · UNAVAILABLE, Ontario
- Full-time
McAfee's Product Analytics team partners with product, engineering, and go-to-market functions to drive data-informed decisions across the business. We build the measurement frameworks,…
Added 4 months ago
SD
Software Developer – Back End
Symbiotic Digital
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Contract
of data engineering (ETL/ELT, Azure data services) and observability
Added 1 month ago
M
Senior Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Senior Software Engineer, you will work closely with product owners, engineering teams, and technical leads on our next generation data feed platform. This role is primarily focused on…
Added 2 months ago
AN
Senior/Lead Software Engineer, Network Systems
Arista Networks
Vancouver, BC
- Full-time
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of…

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

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