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Added 7 mins ago
IC
Cloud Operations, Senior Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Reporting to the Leader, Cloud Operations, the Senior Specialist, Cloud Operations provides senior-level AWS platform engineering expertise to operate, support, and continuously improve…
Added 37 mins ago
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Shipping and Inventory Coordinator
NetworkPedia
AB · Edmonton, AB
- Contract
NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North…
Added 52 mins ago
T
Solution Architect III
TD
London, ON · Toronto, ON
- Full-time
Our architects develop and maintain solution and application architecture, infrastructure environment architecture, technical integration architecture, data strategies and models, security…
Added 52 mins ago
T
Full Stack Architect
TD
London, ON · Toronto, ON
- Full-time
TD IT Architecture covers TD's overall technology strategy, direction, standards for designing and/or developing an architecture framework including technology architecture strategy,…
Added 1 hour ago
Senior Manager, Critical Infrastructure Operations
Amazon
Airdrie, AB · Vancouver, BC · Victoria, BC · Toronto, ON
AWS Infrastructure Services (AIS) is seeking a Data Center Cluster Manager to play a key leadership role in operating and growing AWS data centers across Canada. This is a…
Added 1 hour ago
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Senior DevOps Specialist (Azure Cloud)
Equisoft
Montreal, QC · Quebec, QC · HYBRID - Montreal, Canada
- Full-time
Role: The Senior DevOps Specialist (Azure Cloud) reports to the Manager, SaaS Operations and works closely with 3 other DevOps Specialists. The candidate helps design quality…
Added 1 hour ago
EC
AEM Engineer
Experis Canada
Toronto, ON
- Contract
Develop, configure and enhance AEM components, templates, services and integrations.
Added 2 hours ago
AS
AWS Cloud Architect
Ardent SoftSol Inc.
Mississauga, ON
- $50 to $55 CAD / hour
- Contract
We are seeking a highly skilled AWS API Lead Architect to lead the architecture, design, governance, and implementation of enterprise API and cloud-native solutions. The ideal candidate…
Added 2 hours ago
JG
AWS / API lead and Architect
J&M Group
Mississauga, ON
- Contract
We are seeking a highly skilled AWS API Lead Architect to lead the architecture, design, governance, and implementation of enterprise API and cloud-native solutions. The ideal candidate…
Added 2 hours ago
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Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
We deliver production AI for major enterprises across financial services, retail, hospitality, manufacturing, healthcare, government, and more. Our high-velocity startup values ownership,…
Added 2 hours ago
Senior Engineering Manager - Analytics Platform
Faire
Kitchener, ON · Toronto, ON
We’re hiring a Senior Engineering Manager to lead Faire’s Analytics Platform team. You will manage data warehousing, ETL pipelines, medallion data sets, BI tooling, and agentic analytics…
Added 9 hours ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries…
Added 9 hours ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries…
Added 9 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 11 hours ago
Network Designer
Rogers Communications
Brampton, ON · Toronto, ON
We are looking for Network Designer who will be reporting to the Manager, Engineering – Wireless Data Core, the Data Networks specialist will be the technical Subject Matter Expert (SME) to…
Added 12 hours ago
T
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
- Full-time
Design and implement scalable solutions leveraging Salesforce Loyalty Management, Sales Cloud, Service Cloud, Data Cloud, Marketing Cloud, and related Salesforce platform technologies.
Added 12 hours ago
Software Engineer I
Planview Incorporated
Vancouver, BC
…capabilities that enable engineers to develop, deploy, operate, and scale software with greater efficiency and confidence. You'll work alongside Platform, Cloud, DevOps, AI Agents, and…
Added 13 hours ago
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Senior Manager, Cloud & AI Security
ATB
Calgary, AB · Edmonton, AB
- Full-time
As ATB’s next Senior Manager, Cloud & AI Security, you’ll lead a team responsible for securing ATB’s cloud platforms and enabling the safe adoption of AI. You’ll set the security roadmap,…
Added 15 hours ago
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Cloud Solution Architect/Architecte de solutions cloud
Bluberi
Drummondville, QC
- Full-time
Reporting to the Infrastructure Manager, the Sr. IT System & Network Administrator is a senior technical and delivery-focused role responsible for architecting, implementing, and evolving…
Added 16 hours ago
MI
Content Marketing Specialist
McAsphalt Industries Limited
Toronto, ON · Scarborough, ON
- Full-time
Since 1970, McAsphalt has grown into one of Canada's leading suppliers of asphalt products and services, supporting the infrastructure that keeps people, businesses and communities moving.
Added 17 hours ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Evaluate and manage technology vendors, cloud services, and partnerships.
Added 17 hours ago
K
Project Manager
Kyndryl
Regina, SK
- Full-time
Demonstrated experience managing infrastructure modernization and distributed deployments, including network migrations, SD-WAN, cloud services and data centre initiatives, in collaboration…
Added 17 hours ago
M
Gestionnaire, Ingénierie du Hub de données et Produits de données/Manager, Data Hub Eng & Data Products
McKesson
Montreal, QC
- Full-time
…healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of…
Added 18 hours ago
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Platform Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Comfort with cloud environments, containers, CI/CD pipelines, modern operational tooling, infrastructure as code, and automation.
Added 18 hours ago
Bilingual Senior Specialist, Software Engineering (Environment Management - DEVOPS)
CMHC - SCHL
Ottawa, ON · Montreal, QC
…Management position, where we’re modernizing how CMHC builds and operates software platforms. As Senior Specialist, you’ll learn current model, design and evolve reusable infrastructure…

TMX Group

Senior Manager, AI and Data

Toronto, ON, Canada

$165,000 to $175,000 CAD / year · Full-time

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Job details

Pay: $165,000 to $175,000 CAD / year
Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

Ready to be part of the action?

Key Responsibilities

Define and execute an integrated AI and data roadmap in partnership with business and technology leaders.
Build, coach, and retain a high-performing, diverse team spanning data engineering, and AI engineering; manage hiring, performance, and career development.
Communicate technical concepts, trade-offs, and results clearly to executives and non-technical stakeholders.
Manage delivery against budgets, timelines, and quality standards, and apply agile methods appropriately.

Lead the design and delivery of data and AI solutions, including NLP, forecasting and time series, anomaly detection, and generative AI, for use cases across market data, trading, risk, corporate functions, and operational domains.
Guide the responsible use of generative AI and LLM-based solutions, including RAG, agentic workflows, prompt and model evaluation, vector search, and guardrails.
Oversee the full AI/ML lifecycle: experimentation, training, evaluation, deployment, monitoring (including drift and performance), and retirement.
Establish MLOps practices such as model registries, feature management, reproducible pipelines, and automated validation and release.

Oversee data modelling, warehousing and lakehouse architecture, and streaming, ensuring the data layer is ready to serve both analytics and AI workloads.
Make build-versus-buy and platform-fit decisions across AWS and Snowflake services for data and AI workloads, balancing performance, cost, and maintainability.

Drive adoption of modern engineering practices across data and AI, including CI/CD, infrastructure as code, automated testing, code review, and observability.
Establish and uphold standards for model risk management, data quality, lineage, privacy, and responsible AI.
Promote transparency, explainability, and fairness in AI-driven decisions.
Partner with Information Security, Legal, Compliance, and Risk to ensure solutions meet regulatory, contractual, and internal policy requirements.
Work across business lines, enterprise architecture, and technology teams to align on platforms and standards.
Evaluate and manage technology vendors, cloud services, and partnerships.
Own production support for the AI and data applications, pipelines, and platform components the team delivers, including incident response, root cause analysis, and problem management.
Define and meet service levels (SLAs/SLOs) for availability, data freshness, latency, and model performance, and report on them to business partners.
Establish and run an operating model for support, including on-call rotations, escalation paths, runbooks, and handover between delivery and run teams.

Required Qualifications

Leadership and Experience

Degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
8+ years of experience in data, AI/ML, or software engineering, including 3+ years leading technical teams or managing managers.
Proven record of delivering both data products and AI/ML products into production at scale.
Strong stakeholder management, with the ability to influence senior leaders and translate business needs into technical solutions.
Strong communication skills, with the ability to translate AI and data work into business impact.

AI Expertise

Production experience delivering ML or AI solutions, including at least one of NLP, time series, or computer vision.
Hands-on or deep working knowledge of generative AI and LLM application patterns (RAG, agents, evaluation, guardrails) and a track record of taking at least one such solution to production.
Solid understanding of machine learning and statistics (supervised and unsupervised learning, deep learning, model evaluation).
Experience with MLOps practices, including model deployment, monitoring, and lifecycle management.
Familiarity with ML frameworks and tooling such as PyTorch, TensorFlow, scikit-learn, and MLflow.
Familiarity with model risk management and responsible AI frameworks.

Data Expertise

Advanced SQL and strong Python skills, with experience in performance tuning on large datasets.
Strong experience with Snowflake, including virtual warehouses, Snowpipe, Streams and Tasks, RBAC and masking policies, and cost management.
Hands-on experience with core AWS data and security services (S3, IAM, KMS, Glue, Lambda, Kinesis or MSK).
Experience with data architecture, data modelling, data warehousing and lakehouse patterns, and streaming technologies, including open table formats such as Apache Iceberg.
Experience with data tooling such as Spark, Kafka, Airflow, and dbt.
Familiarity with data governance, quality, lineage, and privacy frameworks.

Platform and Tooling (Shared)

Experience with cloud platforms (AWS, Azure, or GCP) and containerization/orchestration (Docker, Kubernetes).
Proficiency with CI/CD pipelines, Git-based workflows, and infrastructure as code (e.g., Terraform).
Familiarity with monitoring, logging, and alerting for production systems, including SLOs and incident response.

Qualities

Strategic thinking and business acumen
People leadership and talent development
Technical credibility and sound judgment
Accountability and results orientation
Collaboration and influence without authority
Integrity and commitment to responsible AI

Salary Range: $165,000 - $175,000/year CAD. Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

The recruiting efforts for this role are intended to fill a vacant position.

In the market for…

Excitement - Explore emerging technology and innovation, as well as ventures and digital finance that shape the future of global markets! Experience the movement of the market while grounded in the stability of close to 200 years of success.

Connection - With site hubs in some of the world’s most multicultural cities, we leverage our size and structure to create rich connections and belonging while experiencing powerful global impact through our work.

Impact - More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy.

Wellness - From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived!

Growth - From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.

Ready to enrich your career with impactful work, leaders who truly care, and the flexibility and programs to help you thrive as part of #TeamTMX ? Apply now.

Please note that our company is not currently sponsoring work permit applications and the applicant must be authorized to work in the country where this position is located.

TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.

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More about this job

Responsibilities

Define and execute an integrated AI and data roadmap while leading a high-performing team of data and AI engineers. Oversee the full AI/ML lifecycle, including design, deployment, and MLOps practices, to support critical business functions.

Requirements

Requires a degree in Computer Science, Software Engineering, or a related quantitative field with over 8 years of experience in data or AI engineering. Candidates must have proven leadership experience and deep technical expertise in generative AI, MLOps, and cloud data platforms like Snowflake and AWS.

Skills

AI strategy
Data engineering
Team leadership
Generative AI
LLM
MLOps
Python
SQL
Snowflake
AWS
Data architecture
Stakeholder management
Cloud platforms
CI/CD
Model risk management
Agile methodologies

Benefits

Flexible workstyle
Generous time-off
Leaves
Wellness programs

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Engineering
Machine Learning
Generative AI
LLM
RAG
MLOps
Snowflake
AWS
Python
SQL
CI/CD
Terraform
Kubernetes
Docker
Apache Iceberg
Spark
Kafka
Airflow
dbt
Data Warehousing
Lakehouse
Model Risk Management
Agile
Cloud Computing
Infrastructure as Code
Data Governance
Streaming
Time Series
NLP

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