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.
7 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.
Skills Required
- Degree in Computer Science or Information Technology.
- At least 2 years of experience in AI application support and monitoring (Datadog and LangSmith).
- Hands-on support/development experience with one or more: MEAN/MERN stack, PostgreSQL, MS SQL Server, APIs (REST/JSON/GraphQL/SOAP), Postman/Bruno, and GitHub.
- Scripting knowledge of Python.
- Practical experience with containerization and orchestration (Docker and/or Kubernetes).
- Strong understanding of API principles 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 AI monitoring experience with Datadog or LangSmith.
- Good understanding of AI models (traditional and LLMs), model lifecycle, bias/accuracy, model drift, prompt engineering, RAG, token management, and AI KPIs.
- Availability for meetings, on-call and off-hours support (including weekends) and a flexible schedule.
- Cloud technologies (AWS, Azure).
- ITIL certification and experience working in offshore-onsite delivery teams.
- Excellent English communication, strong debugging/troubleshooting, process optimization, and self-starter attributes.
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.


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