Jobs in Canada

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Added 7 days ago
VS
Machine Learning Engineer
vTech Solution Canada
Toronto, ON
- Contract
Strong Python and machine-learning engineering skills with demonstrated experience taking models from experimentation into reliable production environments. Tech stack: Python, SQL, Power…
Added 7 days ago
G
Principal, Trade Support
GlassRatner
Toronto, ON
- Full-time
…responsible for overseeing the global Trade Support function and owning the trade lifecycle end to end, from order release through allocation, confirmation, affirmation, settlement, and…
Added 7 days ago
J
Technical Program Associate or Manager
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Program Associate or Manager based in Canada.
Added 7 days ago
ES
Data Architect (Snowflake, DBT & AWS Focused)
Enterprise Solutions Inc.
Markham, ON
- Contract
Architect and implement advanced data solutions using Snowflake on AWS ensuring scalable secure and high performance data environments
Added 7 days ago
Test Automation Engineer
Red River Mutual
Winnipeg, MB
Knowledge of SQL and experience with database testing.
Added 7 days ago
T
Data Engineer – Databricks & MDM
Teqfocus
Toronto, ON
- Contract
Design, develop and maintain reliable data ingestion, transformation and processing pipelines using Databricks and SQL/Python-based tooling.
Added 7 days ago
TB
Forward Deployed AI Engineer
Type B Digital
Calgary, AB
- Full-time
Strong Python. You should be comfortable with SQL and with building APIs and services (FastAPI or similar).
Added 7 days ago
MA
Support Specialist - AI Applications
Marsh Agency
Toronto, ON
- Full-time
2 years of experience in AI application support, monitoring with DataDog and Langsmith toolsHands-on support and development experience with one or more of: MEAN/MEARN stack, PostgreSQL, MS…
Added 7 days ago
MA
Oliver Wyman - Sr. Analyst, Associate Team Lead; Team Lead; Director-Data and Analytics (DNA) - Toronto
Marsh Agency
Toronto, ON
- Full-time
Experience in using advanced analytics and data manipulation software - R, Python, SAS, SQL, or SPSS.
Added 7 days ago
M
Senior Java Developer (with LLM expertise)
Miratech
Waterloo, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 7 days ago
MA
Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027
Marsh Agency
Toronto, ON
- Contract
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 7 days ago
MA
SVP, Actuary
Marsh Agency
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 7 days ago
MA
Oliver Wyman - Software Developer - Data & Analytics (DNA) - Montreal
Marsh Agency
Montreal, QC
- Full-time
Il s’agit d’un poste hybride, nécessitant une présence d’au moins trois jours par semaine au bureau de Montréal ou sur place chez les clients
Added 7 days ago
BC
AI Engineer
BDO Canada
Toronto, ON
- Full-time
Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
Added 7 days ago
NB
Analyst or Associate Financial Resource Management
National Bank of Canada
Montreal, QC
- Full-time
This role may be based in Montreal or Toronto and requires working on-site five days per week
Added 7 days ago
RB
Analyst, Risk
Rogers Bank
Toronto, ON
- Full-time
Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
Added 7 days ago
OT
Lead UX Developer (React)
Open Text Corporation
Waterloo, ON
- Other
As an experienced Software Developer, your extensive skills beyond the core set listed above (due to previous roles and other technology) can also be an asset and a differentiator.…
Added 7 days ago
C
Python SDET (Data Validation & API Testing)
CGI
Halifax, NS
- Full-time
This is a full-time permanent opportunity based in Bedford, Nova Scotia, requiring four days per week onsite
Added 7 days ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Design and build scalable data solutions using Databricks, PySpark, Spark SQL, Delta Lake, and Python.
Added 7 days ago
NY
Analytics Consultant, Decision Support, Business Intelligence - FT (J1126-0067)
North York General Hospital
Toronto, ON
- Full-time
This is a Full-time Regular Position with 8 hour shifts, Day shifts in the Decision Support, Business Intelligence department
Added 7 days ago
Analyst, Risk
Rogers Communications
Toronto, ON
Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
Added 7 days ago
C
SR Automation TOSCA DI Lead
Cognizant
Mississauga, ON
- Full-time
The ideal candidate will have experience in ETL/Data Warehouse testing, backend/database validation, complex SQL queries, and end-to-end test automation. The candidate should be comfortable…
Added 7 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 7 days ago
KD
Premier directeur/Première directrice, Intelligence d’affaires et rapports | Senior Manager, Business Intelligence & Reporting
Keurig Dr Pepper
Mississauga, ON · Montreal, QC
- Full-time
Expérience avec Power BI, Tableau ou des outils similaires; la connaissance de SQL ou de Python est un atout
Added 7 days ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure…

Marsh Agency

Support Specialist - AI Applications

Toronto, ON, Canada

The applicable base salary range for this role is $70,500 to $112,900. · Full-time

Apply on LinkedIn About employer

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Job details

Pay: The applicable base salary range for this role is $70,500 to $112,900.
Job type: Full-time
Apply by: Dec 5, 2026
Experience: 5+ years of direct production and business applications support experience.
Posting language: English
Posted: Nov 5, 2026

Original job description

This role is responsible for supporting production and business applications, monitoring application health, and proactively identifying and escalating issues to stakeholders. It includes handling user-facing production issues, requests, and data or information needs, as well as collaborating on vulnerability remediation and other support escalations. A key focus is supporting AI applications, including triage, debugging, and troubleshooting in ways that differ from traditional non-AI systems. The ideal candidate has experience supporting or maintaining AI applications, a strong understanding of AI support processes, sub-processes, troubleshooting methods, and tools, and is comfortable working in a hands-on support role.

We will count on you to:

Understand the application, its processes, and all relevant stakeholders, and maintain professional relationships with online business teams to provide support where needed.
Triage and clarify support tickets (incidents and service requests), coordinating with reporters and stakeholders (offshore and onshore) to ensure requirements are well defined.
Analyze support tickets, coordinate with other IT teams, and identify and implement technical solutions to resolve software and usability issues (functionality, sign-on, security access, reporting, upgrades).
Monitor application and server health, logs, and alerts; analyze issues, raise and escalate support tickets as required, and validate fixes through stakeholder testing.
Perform root cause analysis for high‑priority incidents, prepare incident reports, and share findings and next steps with stakeholders.
Communicate timely updates to stakeholders on high‑priority tickets, deployments, outages, and change activities; develop client communications for rollouts, downtime, new functionality, training, and documentation.
Ensure adherence to implementation, support, and change‑management processes (e.g., SDLC and Change Management) and contribute to process and application/project improvements; produce service‑management summary reports.
Be available for meetings, on‑call and off‑hours support (including weekends) and work a flexible schedule to accommodate off‑hours conference calls.
Analyze incident data and logs to identify patterns and improvement opportunities
Manage improvisation projects in Application Support
Participation in ideation and gigs

What you need to have:

Degree in Computer Science or Information Technology.
5+ years of direct production and business applications support experience.
2 years of experience in AI application support, monitoring with DataDog and Langsmith toolsHands-on support and development experience with one or more of: MEAN/MEARN stack, PostgreSQL, MS SQL Server, APIs (REST/JSON/GraphQL), Postman/Bruno, and GitHub; scripting knowledge of Python.
Hands-on support and development experience with one or more of: MEAN/MEARN stack, PostgreSQL, MS SQL Server, APIs (REST/JSON/GraphQL), Postman/Bruno, and GitHub; scripting knowledge of Python.
Practical experience with containerization and orchestration (Docker and/or Kubernetes) and supporting multi-tier Internet/Intranet applications using common design patterns.
Strong understanding of API principles (HTTP methods, REST, JSON, SOAP, GraphQL) and familiarity with API management platforms such as Apigee and AWS API Gateway.
Experience with ITSM and monitoring tools such as ServiceNow, JIRA, Datadog, or Splunk; minimum one year of AI monitoring experience with Datadog or LangSmith.
Good understanding of AI models (traditional and LLMs) - model lifecycle, bias/accuracy, and model drift - plus knowledge of prompt engineering, MCP, RAG, Token Management, AI KPIs.

What makes you stand out:

Cloud technologies (AWS, Azure); ITIL certified; experience working in offshore–onsite delivery teams.
Good technical knowledge to understand and debug AI applications, MCPs, RAGs, using monitoring tools for cause identification
Excellent and effective English communication skills.
Strong debugging, troubleshooting, analytical, and design capabilities.
Strong track record of process optimization
Self-starter with excellent organizational and time-management skills; quick learner, quality-conscious, and committed to meeting deadlines.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005, Marsh will provide a reasonable accommodation to employees and prospective employees to the point of undue hardship upon request and as required in respect of the individual’s particular restrictions and limitations. If you require a specific accommodation because of a disability or medical need, please contact reasonableaccommodations@marsh.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

The applicable base salary range for this role is $70,500 to $112,900.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, retirement programs as well as employee assistance programs.

This is a Replacement position.

Apply on LinkedIn About employer

More about this job

Responsibilities

Support production, business, and AI applications by triaging incidents and requests, monitoring application health, troubleshooting issues, and coordinating fixes with technical teams and stakeholders. Conduct root cause analysis, communicate incident and change updates, validate fixes, and contribute to support process and application improvements.

Requirements

Requires a degree in Computer Science or Information Technology, at least five years of production and business application support experience, and two years supporting AI applications. Candidates should have hands-on experience with relevant application stacks, databases, APIs, Python, containers, monitoring and ITSM tools, and knowledge of AI models, prompt engineering, MCP, RAG, token management, and AI KPIs.

Skills

AI Application Support
Application Monitoring
Incident Triage
Troubleshooting And Debugging
Root Cause Analysis
Python
REST APIs
GraphQL
PostgreSQL
Microsoft SQL Server
Docker
Kubernetes
Datadog
LangSmith
Prompt Engineering
RAG

Benefits

Health And Welfare Benefits
Tuition Assistance
Retirement Programs
Employee Assistance Programs
Performance-Based Incentives

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Application Support
Application Support
Production Support
Incident Management
Service Requests
Root Cause Analysis
Datadog
LangSmith
ServiceNow
JIRA
Splunk
Python
MEAN Stack
MEARN Stack
PostgreSQL
Microsoft SQL Server
REST
JSON
GraphQL
SOAP
Postman
Bruno
GitHub
Docker
Kubernetes
Apigee
AWS API Gateway
Prompt Engineering
Retrieval-Augmented Generation

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Work requirements

Jobs in Canada