Systems Engineering II SM AI / AIOps & GenAI Engineer

Technology Skills Required hands-on experience includes: Python ability to build scalable, production-grade services and analytics pipelines. AIOps & Observability Analytics o Working with telemetry (metrics/logs/traces/events) o Practical exposure to orchestration frameworks (e.g., LangChain/LangGraph/CrewAI or similar) o Anomaly detection approaches (statistical + ML-based) o Correlation techniques (time-series + topology/context) o Alert deduplication / suppression / classification Data & Analytics Engineering o Data modelling for operational datasets (ITSM + telemetry) o SQL and/or equivalent querying capability o Dashboard development (BI and/or observability dashboards) o Understanding reasoning patterns and safe operationalization - Tool-use, verification layers, guardrails, human approvals GenAI / RAG for Operational Knowledge o Building RAG pipelines, embeddings, vector search concepts o Evaluation approaches (grounding, accuracy, hallucination reduction) o RAG systems using internal knowledge sources (runbooks, postmortems, KEDB) Integration & Automation o API integration and enterprise workflow integration patterns o Automation frameworks / orchestration basics (human-in-loop controls) o Designing assistants/agents to support incident triage, diagnostics, summarization, and enrichment Leadership & Behavioural Partner across Infrastructure, CC/NOC, Service Management, Product/Engineering, Security to deliver operational outcomes. Strong stakeholder engagement able to communicate complex insights clearly to senior stakeholders. Pragmatic execution under ambiguity; proactive, outcome-driven delivery. Proficient in verbal and written English, with the ability to communicate comfortably with senior management and stakeholders. Good To Have Experience with AIOps platforms and/or enterprise observability tooling (any major platform acceptable). Familiarity with ITSM data structures (Incidents/Problems/Changes, categorisation, routing, SLAs). React + JavaScript (for lightweight UIs for operational assistants). Data Structures & Algorithms (intermediate foundations). Qualifications Graduation or Post Graduation. Experience building analytics/AI solutions for operations (NOC/CC/ITSM) preferred.. 3-5 years of hands-on experience across AI/analytics stacks (incl. Gen AI exposure) Overall 6-8 years of experience. ( flexible ) Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.