Watts Application Support Engineer – Consultant – MFT – KGS CH
KPMG (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end L2 support for AI applications including incident triage, troubleshooting, resolution, and escalation using ServiceNow.
- Handle technical failures across AI platforms (OpenAI, Azure AI), cloud services (primarily Azure), and application dependencies, ensuring rapid service restoration.
- Drive operational readiness and continuous improvement via knowledge management, documentation, monitoring enhancements, and problem management activities.
Minimum Requirements
- 4+ years experience in production support or operations, preferably L2/L3 facing and with exposure to AI/ML or AI-enabled applications.
- Working knowledge of AI platforms (OpenAI, Azure AI) and cloud fundamentals, primarily Azure; familiarity with AWS and GCP also expected.
- Proficiency with ServiceNow or equivalent ITSM tools for incident, request, and problem management.
- Strong documentation skills for creating runbooks, SOPs, and knowledge base articles.
Ideal Candidate Profile
- Experienced technical troubleshooter capable of diagnosing issues spanning AI application, cloud infrastructure, and integrations.
- Familiar with structured incident triage, prioritization, and escalation with a focus on quality and minimizing back-and-forth with L3 support.
- Skilled in knowledge management and operational readiness activities to scale support from tens to hundreds of AI applications efficiently.