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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
- 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.