End‑to‑end support operations for GenAI platforms, LLM‑based applications, and AI agent workflows, including APIs and service‑based architectures.
Analyze business and technical specifications related to AI solutions, integrations, and backend services.
Demonstrate robust understanding of LLMs, prompt behavior, AI agents, orchestration workflows, and inference pipelines.
Monitor and validate LLM prompt responses, hallucination risks, and AI safety issues in production environments.
Design and execute validation and test plans for LLMs and AI agents, including regression testing after model, prompt, or configuration changes.
Support and troubleshoot Python‑based GenAI services built using frameworks such as FastAPI, Flask, or similar microservice frameworks.
Debug and analyze API‑level issues related to request/response handling, latency, auth, payload structure, and model inference outcomes.
Manage incidents, problems, changes, and service requests using ServiceNow (SNOW).
Perform root cause analysis (RCA)



for recurring AI, model, or service‑level issues and drive preventive/remediation actions.
Coordinate closely with engineering, QA, product, and governance teams for fixes, releases, deployments, and enhancements.
Work with tools such as Postman, Git, and monitoring/observability platforms for GenAI services.
Ensure SLA/SLO adherence, track operational health, and provide metrics, dashboards, and reports for GenAI platforms.
Maintain runbooks, SOPs, knowledge articles, and production support documentation.
Support Responsible AI (RAI) practices including governance checks, safety validations, and compliance requirements.
Possess solid programming knowledge in Python, with the ability to read, debug, and support service code.
Bring solid experience in ServiceNow (SNOW) – Incident, Problem, Change, and Knowledge Management.

📌 Gen Ai/python Databricks Bengaluru
🏢 Trigent Software
📍 Bengaluru