ServiceNow Now Assist Engineer

CoreAi Consulting

Phoenix (AZ)

On-site

USD 140,000 - 170,000

Full time

7 days ago
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Job summary

CoreAi Consulting is seeking an experienced ServiceNow Now Assist Engineer with 6–9 years of platform development and AI-driven automation. The role focuses on designing and implementing intelligent automation using Now Assist, AI Agents, and Agentic Workflows across IRM, GRC, BCM, Privacy, and Security Operations.

You will collaborate with stakeholders to deliver compliant, secure AI experiences, develop scalable workflows, REST/SOAP integrations, and ensure maintainable solutions.

Qualifications

  • Bachelor's degree in computer science, information technology, engineering, or related field.
  • 6–9 years of experience in ServiceNow platform development and implementation.
  • Hands-on experience with Now Assist, Generative AI, or AI-enabled ServiceNow capabilities.
  • Strong experience with IRM/GRC modules such as risk, policy, and compliance.
  • Experience developing with Flow Designer, IntegrationHub, Virtual Agent, Script Includes, Business Rules, Client Scripts, UI Actions, and REST/SOAP APIs.
  • Experience integrating ServiceNow with enterprise applications and third-party systems.
  • Strong understanding of ServiceNow architecture, security, and best practices.
  • Experience with Agile development methodologies and DevOps.

Responsibilities

  • AI Solution Engineering: design, implement, and optimize Now Assist capabilities across IRM and GRC.
  • Configure Now Assist AI Agents and Agentic Workflows to automate governance and compliance.
  • Build conversational AI experiences with Now Assist Panel, Virtual Agent, and Generative AI.
  • Develop AI-powered knowledge retrieval, summarization, content generation, and case workflows.
  • Implement AI governance, guardrails, and responsible AI practices.
  • Collaborate with stakeholders to identify automation opportunities and improve productivity.
  • ServiceNow Platform Development: configure and customize applications with platform-native capabilities.
  • Develop scalable workflows, Flow Designer automations, IntegrationHub solutions, and REST/SOAP integrations.
  • Build reusable components following enterprise standards and support CI/CD.

Skills

ServiceNow Now Assist
Generative AI
AI Agents
Agentic Workflows
IRM/GRC
Risk Management
Policy & Compliance
Audit
Vendor Risk
Privacy
BCM
Flow Designer
IntegrationHub
Virtual Agent
REST/SOAP APIs
UI Actions
Client Scripts
Business Rules
Script Includes
Agile & DevOps
Analytical Skills
Troubleshooting
Communication
Stakeholder Collaboration
Explain AI concepts
Self-motivation

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Flow Designer
IntegrationHub
Virtual Agent
Script Includes
Business Rules
Client Scripts
UI Actions
REST APIs
SOAP APIs

Job description

Location: Charlotte, NC | New York, NY | Phoenix, AZ | Salt Lake City, UT

We are seeking an experienced ServiceNow Now Assist Engineer with 6–9 years of experience in ServiceNow platform development, AI-driven workflow automation, and enterprise service management. The ideal candidate will design, implement, and optimize AI-powered experiences using ServiceNow Now Assist, AI Agents, Agentic Workflows, and Generative AI capabilities across the ServiceNow platform.

This role will focus on delivering intelligent automation solutions for Integrated Risk Management (IRM), Governance, Risk & Compliance (GRC), Business Continuity Management (BCM), Privacy, Enterprise Risk, and Security Operations. The successful candidate will combine deep ServiceNow expertise with AI solution engineering to improve operational efficiency, enhance compliance, and deliver secure, governed AI experiences.

Key Responsibilities:

AI Solution Engineering

  • Design, implement, and optimize ServiceNow Now Assist capabilities across IRM, GRC, Risk Management, Policy & Compliance, Audit, Vendor Risk, Privacy, BCM, and Security Operations.
  • Configure and customize Now Assist AI Agents and Agentic Workflows to automate governance, compliance, and operational processes.
  • Build conversational AI experiences using Now Assist Panel, Virtual Agent, and Generative AI capabilities.
  • Develop AI-powered knowledge retrieval, summarization, content generation, and case resolution workflows.
  • Implement AI governance, guardrails, and responsible AI practices to ensure compliance, security, and explainability.
  • Collaborate with business stakeholders to identify automation opportunities and improve employee productivity.

ServiceNow Platform Development

  • Configure and customize ServiceNow applications using platform-native capabilities and best practices.
  • Develop scalable workflows, Flow Designer automations, IntegrationHub solutions, Script Includes, Business Rules, UI Policies, Client Scripts, and REST/SOAP integrations.
  • Build reusable components following enterprise architecture and development standards.
  • Support source-controlled development, application lifecycle management, and CI/CD processes.
  • Integrate ServiceNow with enterprise systems using APIs and platform integration capabilities.
  • Optimize platform performance, security, and maintainability.

Required Qualifications

  • Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
  • 6–9 years of experience in ServiceNow platform development and implementation.
  • Hands-on experience with ServiceNow Now Assist, Generative AI, or AI-enabled ServiceNow capabilities.
  • Strong experience with IRM/GRC, Risk Management, Policy & Compliance, Audit, Vendor Risk, Privacy, or BCM modules.
  • Experience developing solutions using Flow Designer, IntegrationHub, Virtual Agent, Script Includes, Business Rules, Client Scripts, UI Actions, and REST/SOAP APIs.
  • Experience integrating ServiceNow with enterprise applications and third-party systems.
  • Strong understanding of ServiceNow platform architecture, security, and best practices.
  • Experience with Agile development methodologies and DevOps practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively with technical and business stakeholders.
  • Ability to explain AI concepts and automation solutions to non-technical audiences.
  • Self-motivated with a passion for innovation, automation, and continuous improvement.
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