Engineer and operationalize Generative AI workflows within ServiceNow Now Assist and AI Control Tower, leveraging proprietary LLM models and Azure OpenAI endpoints.
Build and govern RAG (Retrieval-Augmented Generation) pipelines that ground ServiceNow virtual agents in internal knowledge bases, SOPs, and technical documentation corpora.
Manage the full LLMOps lifecycle — prompt versioning, model drift monitoring, hallucination guardrails, and cost optimization — within the ServiceNow AI Control Tower observability layer.
Develop custom Now Assist skill extensions using GenAI Studio, integrating with internal APIs and ERP/EAM systems.
Establish AI quality gates within ServiceNow AI Control Tower to monitor LLM response accuracy, latency SLAs, and safety guardrails across all deployed AI agents.
Design and implement vector embedding pipelines for 40+ years of petro-technical documentation, enabling semantic search within ServiceNow.