Jobs in Canada

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Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Toronto, ON
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 2 months ago
V
Staff Engineer
Vantage
Remote, Canada
- $180,000 to $220,000 CAD / year
- Full-time
- Remote
…work: quantifying it, prioritizing it, making the business and developer-experience case to leadership, and landing it in a roadmap alongside product…
Added 2 months ago
SS
Database Engineer
Soho Square Solutions
Montreal, QC
- Contract
Location: Montreal, QC (Hybrid - 3 days onsite per week)
Added 2 months ago
QP
Senior Cloud Systems Engineer
QuadReal Property Group
Toronto, ON
- Full-time
This role can be based in Vancouver, BC, Toronto, ON, or Calgary, AB
Added 2 months ago
QP
Senior Cloud Systems Engineer
QuadReal Property Group
Vancouver, BC
- Full-time
This role can be based in Vancouver, BC, Toronto, ON, or Calgary, AB
Added 2 months ago
A
Epidemiology & Real-World Science Intern
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
…analysis and programming languages or tools such as SAS, R, Python, or SQL is an…
Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Montreal, QC
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 4 months ago
C
AI Engineer
Cprime
Toronto, Ontario
- Contract
Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn,…
Added 4 months ago
CF
Senior AI Engineer
CI Financial
Toronto, Ontario
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 4 months ago
G
Développeur(euse) logiciel / Software Developer - Edge OS
Genetec
Remote, Canada
- Full-time
- Remote
Expérience avec l’écriture de scripts (Bash, Python ou équivalent)
Added 2 months ago
H
Hardware Engineering Intern
Hexagon
Calgary, AB
- Other
…programmable power supplies while developing automation solutions in Python and contributing to design verification, prototype testing, and product…
Added 2 months ago
L
Advanced Packaging & Integration Co-op Student
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Familiarity with Python, computer vision, and AI is considered a strong asset.
Added 2 months ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 2 months ago
N
IP Routing App Engineer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
You must have:
Added 2 months ago
SS
Generative AI Engineer
Soho Square Solutions
Montreal, QC
- Contract
Location: Montreal, QC (Hybrid, 3 days onsite per week)
Added 5 months ago
PC
Data Analyst
Paradigm Consulting
Winnipeg, Manitoba
- Contract
Kindly note candidates must reside in Canada to qualify
Added 5 months ago
PC
Data Analyst
Paradigm Consulting
Regina, Saskatchewan
- Contract
Kindly note candidates must reside in Canada to qualify
Added 4 months ago
GC
Forward Deployed Engineer (AI Practice)
Greenlight Consulting
North York, Ontario
- $90,000 to $130,000 CAD / year
Anthropic Claude (Cowork + Skills), MCP, Python / Node.js, REST APIs
Added 4 months ago
M
AI Engineer
Morningstar
Toronto, Ontario
- Full-time
Location: Toronto, Ontario (Hybrid policy, 4 days onsite required)
Added 4 months ago
M
Senior Site Reliability Engineer
Morningstar
Toronto, Ontario
- Full-time
Write scripts and tooling in Python, Bash, or other scripting languages to automate routine operational tasks and streamline deployments.
Added 4 months ago
MM
SVP, Actuary
Marsh McLennan
Remote, Canada
- Full-time
- Remote
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 4 months ago
CC
Senior Hardware Engineer (Systems) - Onsite Position
Curtiss-Wright Corporation
Ottawa, Ontario · Canada-Ottawa
- Full-time
Senior Hardware Engineer (Systems)- Onsite Position
Added 3 months ago
Senior Applied AI/ML Scientist - Compass
Faire
Kitchener, Ontario · Toronto, Ontario
Ship retailer-assistant features end-to-end - across the FLARE Python app, data plumbing, tool wrappers, and the frontend surfaces where the assistant appears, using AI-native workflows to…
Added 2 months ago
R
Manager, Data Analytics
Remitly
Burnaby, BC
- Full-time
Strong SQL proficiency; working knowledge of Python or R for data analysis.
Added 4 months ago
V
Senior Engineer
Vantage
Remote, Canada
- $150,000 to $175,000 CAD / year
- Full-time
- Remote
Strong Python and Django experience building production services and APIs.

CI Financial

Senior AI Engineer

Toronto, ON, Canada

The anticipated base salary range for this position is $69,500 - $119,500. · Full-time

Apply on ci.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The anticipated base salary range for this position is $69,500 - $119,500.
Job type: Full-time
Experience: 4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.
Posting language: English
Posted: Jul 8, 2026

Original job description

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and Agentic AI, leveraging existing large language models (LLMs) and platforms - not building models from scratch. As a senior member of the team, you'll take technical ownership of intelligent applications and automation tools that use LLMs to solve business problems, set best practices for the team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to life.

KEY RESPONSIBILITIES:

Applied Generative & Agentic AI:

You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.

Architect and build production-grade intelligent systems and applications using existing LLMs (e.g., OpenAI, Claude, Gemini, etc.) through API integration, prompt engineering, fine-tuning, or Retrieval-Augmented Generation (RAG).

Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.

Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across use cases.

Building web app AI solutions using frameworks such as React or Streamlit.

Monitoring & Improvement:

Set technical direction and best practices for GenAI and agentic solution design, including evaluation methodology, guardrails, and reliability of LLM-powered systems.

Drive continuous iteration and improvement of models and LLM-powered tools based on performance metrics, cost, and user feedback.

Technical Leadership & Best Practices:

Lead design and code reviews, championing best practices around experimentation, reproducibility, and responsible AI.

QUALIFICATIONS:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related field.

Experience:

4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.

Demonstrated experience designing, building, and shipping agentic AI systems involving multi-step reasoning, task decomposition, and tool use.

Experience designing around real-world infrastructure limitations - such as rate limits, quota management, retries/backoff, and cost-per-call - when architecting LLM-powered systems at scale.

Skills:

Deep understanding of prompt engineering, RAG, fine-tuning, and evaluation of generative output, including tradeoffs across approaches.

Proficiency in Python and ML/AI libraries (e.g., Scikit-learn, PyTorch, TensorFlow).

Hands-on skills in designing and orchestrating agentic workflows (multi-step reasoning, task decomposition, tool/function calling).

Excellent communication skills; able to present complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership.

Experience with cloud-based environments (AWS, Azure, or GCP).

This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs. This opportunity is for an existing vacancy with the company.

This opportunity is for an existing vacancy with the company. The anticipated base salary range for this position is $69,500 - $119,500. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a bonus program. In addition, The Company offers a variety of benefits to eligible employees, including health insurance coverage, wellness programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.

CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice. Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential. Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI.

A Supportive Environment for Success

We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.

WHAT WE OFFER

Modern HQ location within walking distance from Union Station
Training Reimbursement
Paid Professional Designations
Employee Savings Plan (ESP)
Corporate Discount Program
Enhanced group benefits
Parental Leave Top–up program
Paid time off for Volunteering

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at accessible.recruitment@ci.com, or call 416-364-1145 ext. 4747.

Apply on ci.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Architect and build production-grade intelligent systems and agentic AI workflows using existing LLMs to automate complex business processes. Lead technical direction, set best practices for GenAI design, and mentor junior engineers within the DNA team.

Requirements

Requires a Bachelor's or Master's degree in a technical field and 4-8+ years of experience in AI/ML engineering with a track record of shipping production systems. Must demonstrate deep expertise in RAG, prompt engineering, and orchestrating agentic workflows.

Skills

Generative AI
Agentic AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Python
React
Streamlit
PyTorch
TensorFlow
Scikit-learn
Cloud Computing
API Integration
Fine-tuning
Multi-step Reasoning
Task Decomposition

Benefits

Health Insurance
Wellness Programs
Life Insurance
Disability Insurance
Retirement Savings Plans
Paid Leave Programs
Education-related Programs
Paid Holidays
Vacation Time
Training Reimbursement
Employee Savings Plan
Corporate Discount Program
Enhanced Group Benefits
Parental Leave Top-up Program
Paid Time Off For Volunteering

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
LLM
OpenAI
Claude
Gemini
RAG
Prompt Engineering
Fine-tuning
Python
PyTorch
TensorFlow
Scikit-learn
React
Streamlit
AWS
Azure
GCP
API Integration
Machine Learning
Data Science
AI Platform
Tool Use
Function Calling
Responsible AI
Wealth Management
Asset Management
Production-grade AI
Evaluation Methodology
Guardrails

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Jobs in Canada