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Marsh

Support Specialist - AI Applications

Toronto, ON, Canada

Pay: The applicable base salary range for this role is $70,500 to $112,900.
Job type: Full-time
Apply by: Nov 1, 2026
Experience: 5+ years of direct production and business applications support experience.
Posting language: English
Posted: Oct 2, 2026

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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 New position.

R_358963

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More about this job

Responsibilities

Support and monitor production and business applications, with a focus on AI systems, by triaging incidents and requests, troubleshooting issues, coordinating technical fixes, and validating resolutions. Perform root cause analysis, communicate with stakeholders, support deployments and change processes, and identify opportunities to improve application support and service management.

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, including monitoring with Datadog or LangSmith. Candidates should have hands-on experience with relevant application stacks, databases, APIs, Python, containers, ITSM and monitoring tools, and AI concepts such as LLMs, model drift, prompt engineering, MCP, RAG, token management, and AI KPIs.

Skills

AI Application Support
Production Application Support
Incident Management
Troubleshooting
Root Cause Analysis
Datadog
LangSmith
Python
Docker
Kubernetes
REST APIs
GraphQL
PostgreSQL
Microsoft SQL Server
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

AI Application Support
Production Support
Business Applications
Datadog
LangSmith
MEAN Stack
MEARN Stack
PostgreSQL
Microsoft SQL Server
REST
JSON
GraphQL
SOAP
Postman
Bruno
GitHub
Python
Docker
Kubernetes
Apigee
AWS API Gateway
ServiceNow
JIRA
Splunk
Large Language Models
Prompt Engineering
MCP
RAG
ITIL
SDLC

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