Toronto, On Data integration Jobs – 3660 Openings This Week

AI Engineering Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Tuition reimbursement
- Paid time off
Solutions Architect
Rothmans, Benson & Hedges —Toronto, ON
- $145,416 a year
- Full-time
- Computer Science
- Engineering
- System design
Contact Center AI Platform-Tech Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- CRM software
- Computer Science
- DevOps
- Tuition reimbursement
- Paid time off
Specialist - Data Engineering
LTM —Mississauga, ON
- $125,815–$137,800 a year
- Software troubleshooting
- Mentoring
- Scripting
- Disability insurance
- Dental care
Quick apply
Electrical Inspector
Planview Utility Services —Greater Toronto Area, ON
- $28–$33 an hour
- Full-time
- Remote
- Microsoft Word
- Google Suite
- Microsoft Excel
- Mileage reimbursement
- Disability insurance
Quick apply
Sr. Director, Infrastructure Automation & Compliance
McKesson —Mississauga, ON
- $151,200–$201,600 a year
- Team management
- No university degree
- Leadership
- Wellness program
- Employee stock purchase plan
Specialist, AI Engineering
Definity Financial Corporation —Toronto, ON
- $92,000–$142,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
- Tuition reimbursement
- Paid time off
Responsible Investing Manager
CAAT Pension Plan —Toronto, ON
- $125,800–$157,200 a year
- Full-time
- Engineering
- Research
- Finance
- Wellness program
Quick apply
NetSuite Service Delivery Consultant
Elim Solutions —Ontario
- $160,000–$180,000 a year
- Full-time
- Remote
- Computer Science
- Software troubleshooting
- Sales
Quick apply
Sr. Manager, Physical Design Engineering, Annapurna Labs
Amazon Development Centre Canada ULC —Toronto, ON
- $179,800–$300,200 a year
- Full-time
- Profit sharing
- Dental care
4d
MEP Content Creator (Autodesk Fabrication .ITM Specialist)
Allied Technical Solutions —Scarborough, ON
- $50,000–$55,000 a year
- Full-time
- Computer Science
- SQL
- Bachelor's
- Dental care
- Paid time off
Quick apply
Senior Full-Stack Developer
Teranet —Toronto, ON
- $120,000–$143,000 a year
- Full-time
- Azure
- Computer Science
- Analysis skills
- Employee assistance program
Analyst, FP& A & Continuous Improvement
SmartCentres —Vaughan, ON
- Full-time
- Finance
- Bachelor's
- Continuous improvement
Quick apply
Tech Lead
Tactable —Toronto, ON
- $150,000–$190,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- English
- Dental care
- Paid time off
Quick apply
Principal Data Engineer
BMO Financial —Toronto, ON
- $94,600–$176,000 a year
- Computer Science
- Engineering
- Analysis skills
- Tuition reimbursement
- Life insurance
Oracle HCM System Specialist
Chartwell Retirement Residences —Mississauga, ON
- Full-time
- Computer Science
- English
- Research
10d
Project Manager
Allied Technical Solutions —Scarborough, ON
- $75,000–$100,000 a year
- Full-time
- Computer Science
- PMP
- Engineering
- Dental care
- Paid time off
Quick apply
Director, Total Rewards
Career Contacts —Toronto, ON
- $130,000–$170,000 a year
- Full-time
- Finance
- Bachelor's
- Team management
- Store discount
- Dental care
Quick apply
Data Center Design Engineer
Digital Shovel —Toronto, ON
- $150,000–$200,000 a year
- Full-time
- Engineering
- Bachelor's
- Travel
- Dental care
- Paid time off
Quick apply
Senior Analyst, Supply Chain (Mandarin, Chinese)
Rakuten Kobo —Toronto, ON
- $77,837.00–$122,548.53 a year
- Full-time
- Hybrid work
- Continuous improvement
- In-person
- Business
- Paid time off
- Vision care

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AI Engineering Lead

Definity Financial Corporation -
Toronto, ON

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Job details

Full-time
$108,700–$158,700 a year

Qualifications

Software engineering
Doctoral degree
Computer Science
MCP
Engineering
Spark
Strategic leadership
Google Cloud Platform
Java
Master's degree
SQL
Event-driven architecture
AWS
Bachelor's
Machine learning
Fraud detection
Mentoring
Software development
Solution architecture
AI
Software development or architecture experience
Python

Full job description

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.

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.

What you Bring

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.

Salary Range : $108,700-$158,700

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 [email protected].

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).

#LI-Hybrid

Apply Now

Refine Your Search

data integration jobs in toronto, on

AI Engineering Lead

Solutions Architect

Contact Center AI Platform-Tech Lead

Specialist - Data Engineering

Electrical Inspector

Sr. Director, Infrastructure Automation & Compliance

Specialist, AI Engineering

Responsible Investing Manager

NetSuite Service Delivery Consultant

Sr. Manager, Physical Design Engineering, Annapurna Labs

MEP Content Creator (Autodesk Fabrication .ITM Specialist)

Senior Full-Stack Developer

Analyst, FP& A & Continuous Improvement

Tech Lead

Principal Data Engineer

Oracle HCM System Specialist

Project Manager

Director, Total Rewards

Data Center Design Engineer

Senior Analyst, Supply Chain (Mandarin, Chinese)

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