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Added 39 mins ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Stay current with emerging technologies and platform updates
Added 39 mins ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
…Synapse, and Microsoft Fabric. This is a hands-on technical role with client-facing…
Added 4 hours ago
MR
Azure DevOps Engineer
Motion Recruitment
Toronto, ON
- Full-time
As a DevOps Engineer, you'll play a key role in advancing the infrastructure behind a next-generation electronic medical records platform, helping create the secure, scalable, and reliable…
Added 6 hours ago
Staff Software Engineer, Backend Platform
Robinhood
Toronto, ON
The Backend Platform team’s mission is to enable fast, safe, and reliable backend development at scale. The team builds and maintains shared frameworks, libraries, and tooling that support…
Added 9 hours ago
IG
Platform Engineer
Insight Global
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations.…
Added 10 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores,…
Added 10 hours ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 11 hours ago
SF
Application Security Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 11 hours ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 11 hours ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic initiatives. This…
Added 11 hours ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise wide strategic initiatives.…
Added 11 hours ago
RB
Staff Cloud Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
…to improve Public Cloud Security across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud…
Added 13 hours ago
G
DevOps- AI Platform Engineer
Galent
Halifax, NS
- Contract
…respect. As a Developer, you will participate in transforming DevOps for Capital…
Added 13 hours ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 13 hours ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
We're looking for an Engineering Director to lead MaintainX's Platform division. Platform owns the seven foundational teams every product engineer builds on: AI Builder, DevOps, Compliance,…
Added 14 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
…of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models…
Added 14 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 15 hours ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
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…
Added 15 hours ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
As a Principal Software Engineer, you will be a senior technical leader and strategic influencer shaping Redwood’s RunMyJobs platform. You will drive high-impact technical decisions, own…
Added 16 hours ago
Intermediate Site Reliability Engineer
ContactMonkey
Toronto, ON
Around 3–5 years of experience in SRE, DevOps, platform engineering, cloud operations, or a related engineering role. Equivalent practical experience is welcome.
Added 16 hours ago
M
Data Specialist
McKesson
Mississauga, ON
- Full-time
…optimization of enterprise-scale healthcare data platforms. This role will play a critical part in building scalable data pipelines, modern analytics solutions, and cloud-based data…
Added 16 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 16 hours ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 17 hours ago
S
Senior Application Support Engineer (m/f/d)
Solactive
Toronto, ON
- Full-time
…market checks. The team supports our business, development, and DevOps departments across all mission‑critical environments, ensuring reliable 24/6 operational…
Added 17 hours ago
KG
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
…connectivity and Direct Market Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets…

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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