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Jobs in Canada

Added 10 days ago
Q
GCP Senior Data Engineer
Querentia
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience in Google Cloud Platform (GCP) services, particularly BigQuery, and knowledge of DBT for data transformation and modeling. The…
Added 10 days ago
T
IT Manager Development (Python)
TD
Toronto, ON
- Full-time
…accountable for providing hands-on technical leadership across Python-based model integration, API/service design, data and model orchestration, validation workflows, user interaction…
Added 10 days ago
CS
Senior Cybersecurity Engineer
Confiar Services
Toronto, ON
- Contract
We are seeking a skilled Senior Engineer with 3–5 years of experience in Python and JavaScript to support ongoing Codewise maintenance and enhancements across enterprise Cyber, Data, and…
Added 10 days ago
C
AI Engineer (Python and AI)
Collabera
Toronto, ON
- $80 to $100 CAD / hour
- Contract
This person should be particularly strong in Python, AWS, GenAI application development, RAG, and agentic AI. They will own solutions from architecture through development and deployment,…
Added 10 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
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 10 days ago
JG
AI Engineer With Python Coding - 8+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 10 days ago
S
Senior Software Engineer, Backend
Sardine
Remote, Canada
- $180,000 to $206,000 CAD / year
- Full-time
- Remote
…constructing, and maintaining APIs, services, and systems across our engineering team. This multifaceted position involves developing new features on a large scale, refining internal…
Added 10 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
Added 10 days ago
CF
Manager, Data Operations
CI Financial
Toronto, ON
- Full-time
You will lead a team of Data Operations engineers and developers, establish operational standards, and partner closely with Data Engineering, Analytics, Governance, and Technology teams to…
Added 10 days ago
II
DevOps Developer - Hybrid
ISAAC Instruments
Saint-Bruno-de-Montarville, QC · St-Bruno-de-Montarville, QC
- Full-time
…secure and reliable delivery of our software solutions and our data and AI platforms. You ensure the automation, stability and evolution of application environments and act as a facilitator…
Added 10 days ago
O
Analyste technique en données et diagnostics
Otodata
Montreal, QC
- Full-time
Education in Data Analytics, Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, or a related field.
Added 10 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 10 days ago
NB
Technical Support Analyst – Digital Assets
National Bank of Canada
Toronto, ON
- Full-time
Familiarity with financial and market-data protocols, including FIX messaging and WebSocket market-data feeds, as well as basic scripting using Python, PowerShell, Bash, or similar languages
Added 10 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
Masters or PhDs in a relevant field such as Financial Engineering, Finance, Economics, Statistics, Mathematics, Computer Science and Data Science.
Added 10 days ago
NB
Senior AI Engineering Developer
National Bank of Canada
Montreal, QC
- Full-time
an Senior AI Engineering Developer in the AI Solutions team at National Bank
Added 10 days ago
SE
Developer
SmartSource Electronics
Mississauga, ON
- Full-time
Role Description This is a full-time Developer role based in Mississauga, ON in a hybrid work arrangement, combining on-site collaboration with flexibility to work from home. The Developer…
Added 10 days ago
L
MLOps Developer
L'Oréal
Toronto, ON
- Full-time
Programming Mastery: A strong software engineering background with exceptional fluency in Python.
Added 10 days ago
S
Senior Software Developer
Seequent
Quebec, QC · Canada Quebec QC Office
- Full-time
Reporting to the Manager, Software Engineering, the Senior Software Developer, Subsurface Information Management, is responsible for the end-to-end design, development, and release of…
Added 10 days ago
PC
Deals Value Creation Analytics Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 10 days ago
YU
Technician - Mechatronics
York University
Toronto, ON
- Full-time
…Experience supporting the setup and operation of undergraduate engineering laboratories and related technical projects, and experience working with integrated mechatronic, automation,…
Added 10 days ago
T
Wealth Operations Automation Intern / Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
Currently enrolled in a recognized undergraduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Data Analytics or related, with the intent of going back…
Added 10 days ago
L
Fullstack Perception Engineer
LIVESENS
Toronto, ON
- Full-time
…captures the physical world and transforms it into actionable data that helps cities inspect and maintain…
Added 10 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 10 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics,…
Added 10 days ago
RB
Digital Asset QA Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Validate data accuracy and consistency across blockchain indexing and enterprise data stores

IT Manager Development (Python)

Toronto, ON, Canada

$96,900 - 136,800 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. · Full-time

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Job details

Pay: $96,900 - 136,800 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually.
Job type: Full-time
Apply by: Nov 3, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$96,900 - 136,800 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

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.

Job Description:

Department Overview

The Pricing technology team is seeking an experienced IT Manager to lead the design and delivery of an AI-enabled capability that integrates with existing models and creates a scalable, business-facing layer for scenario forecasting, A/B testing, model output review, and production workflow integration. This role will be accountable for providing hands-on technical leadership across Python-based model integration, API/service design, data and model orchestration, validation workflows, user interaction design, and enterprise-ready implementation.

Job Accountabilities – What You'll Do

Lead the technical design and implementation of an AI capability that integrates with existing enterprise models and enables business users to interact with model outputs in a controlled, intuitive, and scalable manner.
Design and develop a Python wrapper layer to standardize model integration, manage inputs and outputs, support reusable interfaces, and simplify future onboarding of additional models.
Build or guide the development of APIs, services, orchestration workflows, and integration patterns that connect models with business applications and production systems.
Develop an interactive business layer that enables scenario forecasting, what-if analysis, A/B testing, model output review, and validation before downstream execution.
Partner with business stakeholders, product owners, data science teams, architects, QE, DevOps, risk, security, and operations teams to translate business outcomes into executable technical solutions.
Define technical requirements, solution options, delivery milestones, dependencies, risks, controls, and acceptance criteria for AI-enabled capabilities.
Establish validation workflows to ensure model outputs are reviewed, explainable, traceable, and approved before integration into production processes.
Ensure the solution aligns with enterprise architecture, data governance, security, privacy, responsible AI, model governance, release management, and operational readiness standards.
Provide technical guidance to engineering teams on clean Python design, modular architecture, API-first integration, automated testing, observability, resiliency, and production supportability.
Drive issue resolution, performance tuning, defect triage, release readiness, and post-implementation stabilization for AI-enabled workflows.
Prepare clear technical documentation, implementation plans, executive updates, and stakeholder communications to support delivery transparency and decision-making.
Mentor developers and analysts, promote engineering excellence, and foster a culture of innovation, accountability, and responsible adoption of AI capabilities.

Where You'll Work

You’ll be expected to work Primarily onsite at a TD location for meetings, team events and experiences. The hiring manager will provide more information about how this works for their team.

Job Requirements – What Yon Need to Succeed

Post-secondary degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
Strong hands-on experience with Python, including reusable package design, API integration, automation, data processing, orchestration, and production-quality coding practices.
Proven experience designing and delivering integration layers for models, analytics engines, APIs, microservices, data pipelines, or workflow automation solutions.
Practical understanding of AI/ML solution patterns, including model consumption, input/output handling, evaluation, monitoring, validation, explainability, and responsible AI controls.
Experience translating business needs into technical designs, user stories, integration patterns, acceptance criteria, and delivery plans.
Strong knowledge of enterprise technology delivery practices, including Agile delivery, SDLC, DevOps, CI/CD, testing automation, release management, monitoring, resiliency, and production support.
Ability to assess architecture options, technical trade-offs, risks, dependencies, data requirements, scalability considerations, and downstream operational impacts.
Demonstrated ability to lead cross-functional teams and influence stakeholders across technology, business, data, architecture, risk, security, compliance, and operations.
Excellent communication skills with the ability to explain complex AI and integration concepts to both technical and non-technical audiences.

Preferred

Experience in banking, financial services, pricing, forecasting, analytics, or decisioning platforms.
Familiarity with cloud-enabled AI services, Azure AI, Azure OpenAI, Databricks, SQL, REST APIs, Git, CI/CD pipelines, monitoring tools, Jira, Confluence, and enterprise data platforms.
Experience building business-facing tools for scenario analysis, simulation, experimentation, dashboarding, workflow review, or decision support.
Understanding of model governance, auditability, privacy, data lineage, access controls, and regulated production environments.
Ability to operate with ambiguity, structure complex delivery work, remove blockers, and drive measurable business and technology outcomes.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

Lead the technical design and implementation of an AI-enabled capability that integrates enterprise models with business-facing workflows. You will be responsible for building Python-based integration layers, APIs, and validation workflows to support scenario forecasting and model output review.

Requirements

Requires a post-secondary degree in a technical discipline and strong hands-on experience with Python, API integration, and AI/ML solution patterns. Candidates must demonstrate the ability to lead cross-functional teams and possess knowledge of enterprise technology delivery practices.

Skills

Python
AI/ML
API design
Data orchestration
Scenario forecasting
A/B testing
Model integration
Cloud-enabled AI services
Azure AI
Databricks
SQL
REST APIs
CI/CD
Agile delivery
Technical leadership
Model governance

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development programs
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Python
AI
Machine Learning
API
Microservices
Data Orchestration
Scenario Forecasting
A/B Testing
Azure AI
Azure OpenAI
Databricks
SQL
REST APIs
Git
CI/CD
Agile
SDLC
DevOps
Model Governance
Data Governance
Financial Services
Pricing
Analytics
Decisioning Platforms
Jira
Confluence
Technical Leadership
Automation
Enterprise Architecture
Responsible AI

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