Find work in Canada.

554,384 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 days ago
PF
Data Engineer
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Experience with Databricks, Spark, Delta Lake, or a comparable modern data platform.
Added 2 days ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 2 days ago
IG
DevOps Engineer | Azure + GitHub Enterprise
Insight Global
Toronto, ON
- $62.86 to $68.75 CAD / hour
- Contract
A key component of this role will be supporting and helping lead the organization's transition from Azure DevOps to GitHub Enterprise, including repository, pipeline, permissions, workflow,…
Added 4 days ago
R
IT - Specialty Developer - Senior
Raise
Toronto, ON
- Full-time
DevOps Engineer responsible for DevOps engineering across Azure DevOps and GitHub Enterprise, including leadership of ADO to GHE migration initiatives. Serves as SME for deploying Azure…
Added 4 days ago
SC
Principal Data Engineer
Sleep Country
Brampton, ON
- Full-time
Deep cloud-platform expertise, preferably with Microsoft Azure technologies such as Azure Data Factory, Databricks, Synapse, Fabric, Data Lake, and Azure DevOps.
Added 5 days ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
As a lead software engineer, you are accountable for shaping and delivering end-to-end solutions for enterprise-grade platforms and complex initiatives. You set technical direction, define…
Added 5 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 5 days ago
C
Senior IT Infrastructure Engineer
Cytel
Canada
- Full-time
The Senior Azure Engineer will independently lead complex technical workstreams, make sound implementation decisions, troubleshoot difficult production issues, contribute to architecture…
Added 5 days ago
C
Lead Data Engineer
CGI
Halifax, NS
- Full-time
The Sr/Lead Data Engineer is someone who has the skills to lead the engineering team, including strong communication skills and ability to be self sufficient
Added 5 days ago
B
Sr. Angular Front End Engineer - Azure DevOps/Banking
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for a Sr. Angular Front End Engineer- Azure DevOps/Banking to lead DevOps engineering across Azure DevOps and GitHub…
Added 6 days ago
GT
DevOps Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $90 CAD / hour
- Contract
This DevOps Engineer role sits within the Global Asset Management (GAM) line of business and is focused on MOP (Maintain Operations/Tech Debt) funded activity. The contractor will be…
Added 6 days ago
JC
Senior Databricks Engineer (ML/AI)
Jarvis Consulting Group
Toronto, ON
- $90 to $120 CAD / hour
- Contract
Jarvis Consulting has an immediate need for a Senior ML/AI Databricks Engineer.
Added 6 days ago
NI
Data Modeler
Nityo Infotech
Toronto, ON
- Contract
Minimum 2+ years of experience with Azure Cloud Development such as Azure Databricks (primary platform for PySpark), Azure Data Factory (ADF), Azure Synapse
Added 6 days ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Certifications across more than one vendor, for example Azure Solutions Architect Expert, AWS Solutions Architect Professional, Databricks Data Engineer Professional, or SnowPro Advanced.
Added 7 days ago
I
Data Governance Architect
Infostrux
Toronto, ON
- Full-time
…frameworks. You bring a complete view of the client's data platform through a governance lens, along with the project management and consulting skills to turn that view into a plan the…
Added 9 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to…
Added 9 days ago
W
Senior/Lead Azure Data Engineer
Wipro
Toronto, ON
- Full-time
We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have…
Added 10 days ago
B
Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code,…
Added 10 days ago
B
Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code,…
Added 10 days ago
B
Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code,…
Added 10 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
Deep, hands-on knowledge of Azure Databricks (Unity Catalog, Delta Lake, Lakeflow/Jobs, compute and cost optimization) and related Microsoft Azure services (DevOps, Azure Storage, Key…
Added 10 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 11 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 11 days ago
AI Enablement Engineer
Scotiabank
Toronto, ON
5+ years of experience in a role such as Technical Systems Analyst, Platform Enablement Lead, or Technical Product Owner
Added 11 days ago
FN
AI Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Build on shared AI Factory services and approved patterns across Databricks and Azure, including governed data, Vector Search, model and prompt registries, evaluation harnesses, APIs,…

First National Financial LP

AI Engineer

Toronto, ON, Canada
East York, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

We are hiring an AI Engineer, Application Development!

Reporting To

Assistant Vice President IT, Application Development

Full-Time/Part- Time

Full-time

Posting Date

October 21, 2026

Closing Date

November 23, 2026

Hours Of Work

8:30 a.m. – 5:00 p.m.

Grade

Office Location:

14.4

Toronto

Great location! Steps away from the main public transit station

What We Offer

Highly competitive compensation package which includes, base salary, bonus, benefits, and career advancement opportunities!

Eligibility for benefits is dependent on the terms of employment

The Opportunity

The AI Engineer reports to the AI Engineering Lead and works within First National’s Residential Underwriting Product Squad, accountable for designing, building, testing, and improving AI enabled mortgage workflows that enhance productivity, decision quality, policy adherence, and user experience.

This is a hands on engineering role focused on agentic workflows, document and policy intelligence, retrieval augmented generation, deterministic rules and calculations, tool integration, human in the loop review, and measurable model quality.

How You Will Contribute

Design and build AI enabled workflows for residential mortgage use cases, including document extraction, policy interpretation, retrieval augmented generation, summarization, tool calling, deterministic decision logic, calculations, exception handling, and human in the loop review.
Translate First National business rules, underwriting policies, process steps, and edge cases into modular prompts, agents, retrieval pipelines, tools, services, and testable acceptance logic, in partnership with the Residential Underwriting Business SME and the Merlin Product Owner.
Build on shared AI Factory services and approved patterns across Databricks and Azure, including governed data, Vector Search, model and prompt registries, evaluation harnesses, APIs, identity, logging, monitoring, and controlled access to model providers, and raise platform gaps to the AI Engineering Lead and the Technical Product Manager rather than building parallel platform components.
Develop production quality code using Python, SQL, FastAPI, Git based workflows, automated tests, CI/CD, and modern engineering practices, and integrate AI services with Merlin, core mortgage systems, document repositories, data sources, and user facing applications through the interfaces and data contracts owned by the AI Data and Integration Engineer.
Create representative use case test cases and evaluation datasets to the methodology, acceptance thresholds, and quality standards set by the AI Quality and Evaluation Lead, and work with IT QA to analyze failure patterns and improve grounding, policy adherence, confidence, precision, recall, and exception routing.
Implement safeguards for privacy, security, auditability, model and prompt versioning, observability, feedback capture, rollback, and cost control, following First National engineering and production readiness standards.
Support UAT, parallel runs, defect triage, production releases, incident analysis, and ongoing monitoring, and rapidly address edge cases identified through user feedback, evaluations, and operational telemetry.
Refactor partner delivered or prototype components into modular, documented, maintainable services, and contribute reusable prompts, tools, retrieval patterns, and lessons learned back to the AI Factory component catalog.

The Experience You Need

Bachelor’s degree in computer science, engineering, data science, mathematics or a related discipline.
5 plus years of progressive software engineering, machine learning engineering, data engineering, applied AI, or related technology experience.
Hands on experience building production AI or generative AI solutions, including RAG, agentic workflows, document intelligence, prompt and tool design, model serving, evaluation, observability, and human in the loop controls.
Strong practical experience with Python, SQL, APIs, automated testing, Git based delivery, CI/CD, and cloud services. Experience with Microsoft Azure, Databricks, MLflow, Vector Search, Azure OpenAI Service, or comparable platforms is strongly preferred.
Ability to combine probabilistic AI techniques with deterministic rules, calculations, validations, and workflow controls to meet business, policy, audit, and operational requirements.
Working knowledge of retrieval quality, prompt testing, confidence scoring, error analysis, model and prompt drift, guardrails, red teaming, privacy, security, and cost optimization.
Experience collaborating with product owners, domain experts, full stack engineers, QA, security, data, and platform teams through design, UAT, production release, monitoring, and continuous improvement.
Experience in financial services, mortgage lending, lending operations, servicing, broker channels, third party partnerships, or regulated technology environments is preferred.

Relationships

External: Engages implementation partners, cloud providers, data and AI platform providers, and specialist vendors on solution delivery, code and prompt quality, production readiness, and knowledge transfer to First National.

Internal: Works day to day within an AI Product or AI Platform Squad.

Working Environment And Physical Demands Analysis

Office environment
Periods of high volume with tight timelines
Long periods of stationary position/sitting
Prolonged periods of repetitive movement (i.e. using a keyboard and mouse)
Long periods of time in viewing a computer screen
Multi-tasking may include speaking to customers on a telephone call while looking up information on a computer program.

Why join First National?

Competitive Compensation
Comprehensive benefits program (i.e., Health Spending Account, Maternity and Parental Leave Top Up)
Extensive training programs to set our employees up for success
Modern office environment conducive to collaboration
Supportive teamwork culture
Opportunities to give back to the communities and work through events focused on a variety of charities
Ongoing social events throughout the year

The Team You’ll Join

Founded in 1988, First National is one of Canada’s largest non-bank lenders. We provide residential mortgages exclusively through the mortgage broker channel and we are Canada’s largest commercial mortgage lender.

First National has been consistently recognized as a great place to work and we are proud that our employee engagement feedback is higher than our industry partners.

We would like to thank all applications for their interest in this existing vacancy, but only candidates selected for an interview will be contacted.

Artificial Intelligence is not used in our recruitment or hiring process for this role.

First National is proud to be an equal opportunity employer and is committed to diversity and inclusion regardless of race, color, religion, national origin, age, gender identity, physical or mental disability, sexual orientation and any other category protected by law.

First National supports requests for accommodation from applicants with disabilities; please contact Human Resources at accessibility@firstnational.ca should you need an accommodation at any point in the recruitment process.

#FNLOON

Apply About employer

More about this job

Responsibilities

Design, build, test, and improve AI-enabled residential mortgage workflows using agentic systems, document intelligence, retrieval-augmented generation, deterministic rules, and human review. Integrate and operate production AI services while supporting evaluation, safeguards, user acceptance testing, releases, monitoring, and continuous improvement.

Requirements

Requires a bachelor’s degree in computer science, engineering, data science, mathematics, or a related discipline, plus at least five years of relevant technology experience. Candidates need hands-on production AI experience and strong skills in Python, SQL, APIs, testing, CI/CD, and cloud services; Azure, Databricks, and regulated financial services experience are preferred.

Skills

Python
SQL
Generative AI
Retrieval-Augmented Generation
Agentic Workflows
Document Intelligence
Prompt Engineering
API Development
Automated Testing
CI/CD
Microsoft Azure
Databricks
Machine Learning
Model Evaluation
Human-in-the-Loop Controls
Financial Services

Benefits

Bonus
Health Spending Account
Maternity and Parental Leave Top-Up
Career Advancement Opportunities
Training Programs

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
FastAPI
Git
CI/CD
Microsoft Azure
Databricks
MLflow
Vector Search
Azure OpenAI Service
Retrieval-Augmented Generation
Agentic Workflows
Document Intelligence
Prompt Engineering
Tool Calling
Model Serving
Model Evaluation
Evaluation Datasets
Automated Testing
APIs
Machine Learning
Generative AI
Deterministic Decision Logic
Human-in-the-Loop Review
Observability
Model Monitoring
Privacy and Security
Mortgage Underwriting
Financial Services
UAT

Report this job