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Added 2 mins ago
FI
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CI Financial

AI/ML DevOps Engineer

Toronto, ON, Canada

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

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Job details

Pay: The anticipated base salary range for this position is $69,500 - $119,500.
Job type: Full-time
Apply by: Oct 18, 2026
Experience: 5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps-related roles.
Posting language: English
Posted: Oct 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 AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by building and maintaining reliable CI/CD pipelines and production environments that support scalable AI applications. You will work closely with data scientists, AI engineers and data engineers to move AI solutions from prototype to production while meeting enterprise standards for reliability, security, and performance.

Key Responsibilities

AI Solution Delivery & Production Deployment

Enable the end-to-end delivery of AI, ML, and GenAI solutions, supporting use cases from early experimentation through scalable production.
Partner with data scientists, AI engineers, data engineers, and data ops teams to move solutions from prototype to production-ready delivery.
Support common AI solution patterns such as retrieval-augmented generation (RAG), search-driven applications, and AI-assisted or agent-based workflows.
Contribute to reusable deployment approaches and solution templates that accelerate delivery across multiple AI initiatives.

CI/CD & Release Engineering (DevOps / MLOps Enablement)

Support production deployments on Snowflake and cloud platforms (AWS or equivalent), including automated releases and environment separation.
Build and maintain CI/CD pipelines using Jenkins and Bitbucket (or equivalent) to deploy AI/ML and data-driven applications.
Support release practices including environment separation, deployment automation, and safe promotion across dev/test/prod.

Reliability, Monitoring & Operational Excellence (AIOps Mindset)

Improve production readiness through monitoring, alerting, logging, deployment validation, and operational best practices.
Troubleshoot production issues across pipelines, integrations, and AI applications; drive root-cause remediation and preventive improvements.
Ensure solutions meet enterprise standards for security, stability, performance, and reliability.

Qualifications

Education:

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, or equivalent professional experience.

Experience

5–7 years of experience in DevOps, software engineering, platform engineering, or MLOps-related roles.
Strong understanding of CI/CD concepts, release practices, and operational support in production environments.
Hands-on experience building CI/CD pipelines with Jenkins and source control using Bitbucket (or equivalent).
Proven experience deploying and supporting production systems.
Experience working with data or AI platforms (e.g., Snowflake or equivalent), or strong interest in learning new platforms.
Experience collaborating with AI/ML and data engineering teams to operationalize AI-driven applications and data-intensive workflows.
Proficiency in Python, Bash, or similar scripting/programming languages.
Familiarity with containerized environments (Docker).

Preferred Qualifications

Experience deploying AI or data-driven applications, including APIs, services, or lightweight user interfaces (e.g., Streamlit, React).
Experience with integrations, authentication/authorization, and secure connectivity (e.g., SSO/OAuth, service accounts, API integrations).
Exposure to Tableau or analytics/BI tools.
Experience in financial services, fintech, or investment management.

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.

This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs.

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.

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More about this job

Responsibilities

Operationalize AI, machine learning, and generative AI solutions by building and maintaining CI/CD pipelines and production environments, and by supporting deployments on Snowflake and cloud platforms. Collaborate with data and AI teams to move solutions from prototypes to production, improve monitoring and reliability, and troubleshoot issues while meeting enterprise security and performance standards.

Requirements

Candidates should have 5–7 years of experience in DevOps, software or platform engineering, or MLOps, with hands-on experience in CI/CD pipelines, Jenkins, Bitbucket or equivalent tools, and production systems. A bachelor’s degree in a relevant technical discipline or equivalent experience is required, along with scripting proficiency and familiarity with Docker; experience with Snowflake or similar platforms is also sought.

Skills

DevOps
MLOps
CI/CD
Jenkins
Bitbucket
Python
Bash
Docker
Snowflake
AWS
Machine Learning
Generative AI
Retrieval-Augmented Generation
Monitoring and Alerting
Production Deployment
Security

Benefits

Health Insurance
Wellness Programs
Life Insurance
Disability Insurance
Retirement Savings Plans
Paid Leave
Education-Related Programs
Paid Holidays
Vacation Time
Training Reimbursement
Employee Savings Plan
Corporate Discounts
Enhanced Group Benefits
Parental Leave Top-Up
Paid Volunteer Time
Bonus Program

Visa sponsorship

Not detected in the job text

Keywords

DevOps
MLOps
CI/CD Pipelines
Jenkins
Bitbucket
Snowflake
AWS
Python
Bash
Docker
Artificial Intelligence
Machine Learning
Generative AI
Retrieval-Augmented Generation
Search-Driven Applications
Agent-Based Workflows
Production Deployment
Release Engineering
Environment Separation
Monitoring
Alerting
Logging
Root-Cause Analysis
APIs
Streamlit
React
SSO
OAuth
Service Accounts
Financial Services

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