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Added 6 months ago
Q
Staff AI Software Engineer (C++)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 5 months ago
Architect
Benevity
Calgary, Alberta
4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
Added 5 months ago
Architect
Benevity
Toronto, Ontario
4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
Added 6 months ago
UM
Senior Backend Engineer
US Mobile
Toronto, Ontario
- Full-time
Develop and maintain RESTful APIs using Java (Spring Boot or related web frameworks) or Python (Flask, Django)
Added 5 months ago
Principal Architect, Software Engineering
Credera Experienced Hiring Job Board
Quinte West, Ontario
You shape Credera's practice direction on AI in software engineering, setting the bar for how our teams build agentic systems and AI-augmented applications that hold up in production, and…
Added 7 months ago
Q
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 3 months ago
LT
DevOps Team Lead
LMI Technologies
Burnaby, BC
- $108,000 to $135,000 CAD / year
- Full-time
Added 1 month ago
OT
Principal AI Developer
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
AI Agent Developing: Design and implement complex AI agents (primarily Python) integrated with enterprise systems, APIs, and data platforms.
Added 6 months ago
B
Database Developer
Bounteous
Montreal, Quebec
- Full-time
Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design,…
Added 1 month ago
OT
Lead Automation Architect
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
7+ years of experience in platform engineering, infrastructure development, SRE, or automation‑centric roles.
Added 6 months ago
PA
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
- Full-time
Strong programming skills in Python with solid knowledge of data structures, algorithms, and software engineering best practices.
Added 6 months ago
MG
Security Incident Response Commander
Match Group
Vancouver, BC
- Full-time
The MG Security Engineering organization provides unified security services across all Match Group brands. The Monitoring, Incident Response & SOC team is responsible for real-time threat…
Added 2 months ago
B
AI Engineer - Generative & Agentic AI
BDO
Toronto, ON · Oakville, ON · Halifax, NS · Calgary, AB
- Full-time
Proficiency in at least one major programming language such as Python or .NET (strong engineering fundamentals matter more than specific syntax).
Added 6 months ago
AT
Principal Software Developer - Cloud
Aspen Technology
Montreal, Quebec
- Full-time
AspenTech is looking for a talented and experienced Developer to join our Enterprise Operations Platform (EOP) organization. In this role, you will be a member of an Agile development team…
Added 6 months ago
P
Senior Software Engineer - Java
PointClickCare
Mississauga, ON
- Full-time
scalable platform services, leveraging modern AI-augmented engineering practices to
Added 3 months ago
MT
Senior Engineer - Design
Microchip Technology Inc.
Burnaby, British Columbia · Canada - Burnaby
- Full-time
…generation of advanced storage controller devices fueling the big data revolution. In this senior role you will take technical ownership of complex subsystems - driving them from…
Added 2 months ago
DI
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
- Full-time
Cross-Functional Collaboration: Work closely with data scientists, ML Engineering, data engineering, underwriters, claim adjusters, and product managers to identify high-impact…
Added 2 months ago
CI
Lead Business Analyst, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…Investing Technology team develops and supports the technology and data capabilities that enable these investment…
Added 2 months ago
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca
Toronto, ON
…expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in…
Added 1 month ago
Senior Technical Artist: Procedural Art
Rockstar Games
Oakville, ON
Develop automated solutions for data processing.
Added 5 months ago
AG
Lead AI Engineer
Altus Group
Toronto, Ontario
- Full-time
…will work across LLM-powered applications, agentic workflows, data-driven analytics, and domain-specific AI models, partnering closely with Product, Engineering, Architecture, Data, and…
Added 7 months ago
MI
Engineer, AI & Software Testing
Magna International
Toronto, Ontario
- Full-time
…various methodologies. The incumbent will generate ground truth data, develop reference materials and annotated datasets, and build a robust testing framework to ensure high quality…
Added 2 months ago
FI
Principal Software Engineer
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.
Added 1 month ago
A
Guidewire Developer - Rating / Pricing
Aviva
Markham, ON
- Other
As a Guidewire Rating Developer, you will contribute to the design, development, and maintenance of rating logic and rating‑related components within Guidewire PolicyCenter. You will…
Added 1 month ago
Senior Solution Consultant - Implementation
Coveo
Montreal, QC · AB
…deliver ultra-relevant results in under a second. This is where engineering meets…

Definity Insurance Company

Specialist, AI Engineering

Toronto, ON, Canada

Salary Range: $92,000 - $142,000 · Full-time

Apply About employer

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Job details

Pay: Salary Range: $92,000 - $142,000
Job type: Full-time
Experience: 5+ years of experience in a technological role, with proven hands-on experience in building and deploying production-grade systems.
Posting language: English
Posted: Aug 17, 2026

Original job description

The Opportunity

We are seeking a forward-thinking AI Engineer to join our innovative team and drive the future of Property & Casualty (P&C) insurance. This role is pivotal in bridging the gap between emerging AI technologies and real-world insurance applications. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge AI solutions that will transform our core processes, including claims, underwriting, and customer engagement. 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.

What to expect

AI Application Development: An AI Engineer is focused on the practical application of artificial intelligence and machine learning to create intelligent systems and solve real-world problems. Design and build end-to-end AI-powered applications to enhance key insurance functions. This includes developing solutions for automated claims processing, underwriting decision support, fraud detection, and personalized customer service. Develop and integrate AI services such as LLM-powered APIs, retrieval-augmented generation (RAG) pipelines, and agent orchestration logic into secure, production-grade environments.
System & Data Integration: Architect and implement robust integrations between AI services and our core insurance platforms using API-first and microservices-based approaches. Design and optimize data models, Data Transformations, and storage patterns to ensure performance, reliability, and governance across AI workloads.
Responsible AI & Governance: Champion and implement Responsible AI principles to ensure that all solutions and applications are fair, transparent, explainable, and compliant with industry regulations. Write production-quality code, conduct code reviews, troubleshoot performance issues, and continuously improve system reliability, scalability, and observability
Cloud Platform Utilization: Leverage cloud platforms, such as Google Cloud for Insurance to build, tune and deploy scalable and secure AI solutions.
Proof-of-Concept to Production: Lead in conjunction with internal and external stakeholders the full lifecycle of AI projects, from initial ideation and rapid prototyping (Proof-of-Concept) to full-scale deployment .
Cross-Functional Collaboration: Work closely with data scientists, ML Engineering, data engineering, underwriters, claim adjusters, and product managers to identify high-impact opportunities and ensure AI solutions deliver measurable business value.
Problem-Solving & Technical Guidance: Anticipate and resolve complex technical problems, providing direction and hands-on support to teams. Possess strong diagnostic and troubleshooting abilities across data platforms, pipelines, and integrations.
Market Research & Model Evaluation: Participate with Data Scientists in assessing benchmark third-party and open-source AI models (including LLMs, RNN GAN, and predictive analytics) for their potential application to P&C insurance use cases.

What you bring

Technical Skills

Strong Programming Skills: Proficiency in Python and experience with relevant AI/ML frameworks. Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark).
AI & Machine Learning: Understanding various AI and ML techniques, including NLP, computer vision, and predictive modeling. Experience developing and integrating AI-powered systems such as LLM applications, RAG pipelines, or agent-based workflows.
Data Expertise: A strong understanding of data structures, data modeling, and pipelines. Experience with both structured (e.g., policy and claims data) and unstructured data (e.g., documents, images, audio).
Cloud Computing: Hands-on experience with a major cloud platform (Google Cloud, or AWS). Specific experience with Google Cloud, Gemini is a significant asset.
AI Integration: Experience designing and working with A2A, MCP, Agentic RAG, and including conventional microservices, and event-drive architecture.
Broad AI Skill: Experience with MLOps practices and tools, including containerization with Docker and Kubernetes. Experience with AI-Observability metrics, and Agentic Red-Teaming practices.
Responsible AI: Knowledge of the principles and best practices for building ethical, fair, and transparent AI systems.
Problem-Solving: Ability to analyze complex business problems in the insurance domain and translate them into effective AI-driven solutions.
Communication: Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Innovation Mindset: A passion for staying current with the latest advancements in AI and identifying opportunities for innovation.

Soft Skills

Problem-Solving: Ability to analyze complex business problems in the insurance domain and translate them into effective AI-driven solutions.
Communication: Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Innovation Mindset: A passion for staying current with the latest advancements in AI and identifying opportunities for innovation.

Experience

Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field.
5+ years of experience in a technological role, with proven hands-on experience in building and deploying production-grade systems.
P&C Insurance Domain Knowledge: Familiarity with core insurance processes such as underwriting, claims management, and pricing is a desired skill.

Salary Range: $92,000 - $142,000

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market.

This position is being posted to fill an existing vacancy.

Interested in this role, but don’t meet every requirement? We encourage you to apply! We know from experience that a candidate doesn’t need 100% of the qualifications listed to bring incredible value to our team. We’re actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren’t just “nice to have” - they’re essential to our success.

What’s in it for you?

Hybrid work schedule for most roles
Company share ownership program
Incentive Program - Eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.
Pension and savings programs, with company-matched RRSP contributions
Paid volunteer days and company matching on charitable donations
Educational resources, tuition assistance, and paid time off to study for exams
Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
Wellness and recognition programs
Discounts on products and services

Go ahead and expect a lot - you deserve it.

It’s better here - but don’t take our word for it. Definity was named by Great Place to Work^®as one of the Best Workplaces™ in Canada for women, for youth, and for inclusion.

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting accessibility@economical.com.

As part of Definity’s commitment to reconciliation, we acknowledge that our work, meetings, and travel take place on the lands now known as Canada, and recognize the enduring presence, wisdom, and stewardship of the First Nations, Métis, and Inuit peoples who have long cared for these lands.

Background checks

This role requires successful clearance of background checks (including criminal checks and leadership references).

#IND1

Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.

We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.

Apply About employer

More about this job

Responsibilities

The AI Engineering Specialist will design, develop, and deploy AI-powered solutions to transform core insurance processes such as claims, underwriting, and customer engagement. This role involves leading the full lifecycle of AI projects from proof-of-concept to production while ensuring systems are scalable, secure, and compliant with Responsible AI principles.

Requirements

Candidates must possess a bachelor's or master's degree in a relevant field and at least 5 years of experience in a technological role with hands-on production-grade system deployment. Proficiency in Python, AI/ML frameworks, cloud platforms, and data modeling is required, along with strong problem-solving and communication skills.

Skills

Python
Artificial intelligence
Machine learning
LLM
RAG pipelines
Data modeling
Cloud computing
Google Cloud
MLOps
Docker
Kubernetes
Microservices
API development
Predictive analytics
Insurance domain knowledge
Responsible AI

Benefits

Hybrid work schedule
Company share ownership program
Incentive program
Pension and savings programs
Company-matched RRSP contributions
Paid volunteer days
Charitable donation matching
Educational resources
Tuition assistance
Paid time off to study
Wellness programs
Discounts on products and services

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
P&C Insurance
Python
Java
SQL
Spark
LLM
RNN
GAN
Predictive analytics
RAG
Agent orchestration
Microservices
API-first
Google Cloud
Gemini
MLOps
Docker
Kubernetes
AI-Observability
Agentic Red-Teaming
Data modeling
Underwriting
Claims management
Responsible AI

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