ServiceNow Automation Expert

1 day ago

Guntur, Andhra Pradesh, India beBeeAI Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Overview

Accelyst leverages industry-specific AI Agents and leading-edge AI platforms to deliver integrated, secure, and ROI-optimized solutions. We combine deep industry and technical expertise to enable rapid deployment of innovative AI-driven capabilities.

We are seeking a ServiceNow AI Agent Engineer to support the implementation of ServiceNow AI Agents at healthcare payer clients. This role requires deep expertise in the ServiceNow platform, AI Agent Studio, and integration of AI/ML models with enterprise workflows.

  • Configure AI agents to handle member enrollment inquiries, benefit explanations, and 24/7 support for common questions about coverage and claims status.
  • Automate claims processing, claims routing, exception handling, and prior authorization workflows using AI agents.
  • Streamline provider onboarding, credentialing workflows, and contract management using AI agents.
  • Use AI agents to provide real-time visibility into core system issues, security, and compliance risks.
  • Implement AI agents that can triage complex member issues, automatically escalate cases based on severity, and coordinate cross-functional responses for appeals, grievances, and medical management cases.
  • Manage internal IT requests from employees, manage system integrations, and provide automated incident response for critical payer systems and applications using AI agents.

The ideal candidate will have:

  • Strong hands-on experience with the ServiceNow Platform (ITSM, CSM, HRSD, SecOps).
  • Proficiency in ServiceNow AI Agent Studio, no-code/low-code development.
  • Expertise in workflow automation, Integration Hub, and API integrations.
  • Solid understanding of LLMs and ML concepts for natural language processing and AI-driven automation.
  • Proficiency in JavaScript and ServiceNow scripting.
  • Familiarity with data integration (internal and external sources, knowledge articles, platform data).
  • Experience with AI governance, analytics, and monitoring tools.
  • Strong problem-solving skills and ability to collaborate across engineering and business teams.

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