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Added 4 mins ago
Sr. Full Stack Engineer - MTS 1 (Seller)
eBay
Toronto, ON
Full-time
We are looking for a Sr. Full Stack Engineer - MTS 1 to join eBay’s Seller Hub team in Toronto. Seller Hub is eBay’s central seller-facing platform, supporting critical experiences that…
Added 4 mins ago
Senior Data Engineer
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Toronto, ON · Greater Toronto Area, ON
Other
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Added 17 mins ago
Senior Data Engineer
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Contract
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Added 17 mins ago
Analyst I, System Management (Permanent)
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Toronto, ON
$48.73 to $57.27 CAD / hour
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Added 19 mins ago
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Added 48 mins ago
Vice President of Customer Support
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Added 48 mins ago
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Added 48 mins ago
Senior AI Engineer
CI Financial
Toronto, ON
Full-time
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…
Added 1 hour ago
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$80,000 to $95,000 CAD / year
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Added 2 hours ago
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Reverse engineer existing business logic and applications and re-platform legacy functionality into modern solutions.
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CI Financial

Senior AI Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
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: Sep 21, 2026

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Original job description

Senior AI Engineer

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.

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 [email protected], or call 416-364-1145 ext. 4747.

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More about this job

Responsibilities

You will architect and build production-grade intelligent systems and agentic AI workflows using existing LLMs to support business operations. Additionally, you will set technical best practices, mentor junior engineers, and drive continuous improvement of AI solutions based on performance metrics.

Requirements

Candidates must have 4-8+ years of experience in AI or data science roles with a proven track record of shipping production-grade systems. A bachelor's or master's degree in a relevant technical field is required, along with proficiency in Python and experience with cloud environments.

Skills

Generative AI
Agentic AI
Large Language Models
Python
Prompt engineering
Retrieval-Augmented Generation
Machine learning
Data science
Cloud computing
AWS
Azure
GCP
React
Streamlit
PyTorch
TensorFlow

Benefits

Modern HQ location
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
Large Language Models
RAG
Prompt Engineering
Python
Machine Learning
Data Science
Cloud Computing
AWS
Azure
GCP
React
Streamlit
Scikit-learn
PyTorch
TensorFlow
Automation
API Integration
Fine-tuning
Multi-step reasoning
Task decomposition
Production-grade
Financial Services
Wealth Management
Asset Management
Data Analytics
Software Engineering
Technical Leadership
Governance

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