About the role
ServiceNow AI Architect
Location: Remote (India)
Experience: 10+ Years
Working days: 5 Days
Employment type: Full Time
About the Role
We are looking for a ServiceNow AI Architect to lead the design and implementation of next-generation, AI-powered enterprise solutions on the ServiceNow platform.
This is a high-impact, strategic role where you will define how AI is embedded into enterprise workflows—driving intelligent automation, conversational AI, and autonomous operations at scale.
Job Summary:
We are seeking a Strong and Seasoned ServiceNow Architect with deep expertise in AI-driven ServiceNow capabilities including Now Assist, Now Assist Virtual Agent (VA), Agentic AI, Predictive Intelligence, Task Intelligence, and AI Control Tower (AICT). The ideal candidate will lead architecture, design, governance, and enterprise-scale implementation of AI-powered solutions on the ServiceNow platform. This role requires strategic thinking, strong technical leadership, and hands-on experience architecting intelligent automation, conversational AI, and AI governance frameworks within complex enterprise ecosystems.
Requirement:
- 10+ years of IT experience with 7+ years of deep ServiceNow experience.
- Proven experience architecting enterprise-scale AI solutions within ServiceNow.
- Strong hands-on expertise in Agentic AI, Now Assist, Virtual Agent, Predictive Intelligence, Task Intelligence, and AICT.
- Solid understanding of LLM architecture, prompt engineering, RAG frameworks, and AI validation methodologies.
- Experience designing Agentic AI orchestration and autonomous workflow solutions.
- Strong knowledge of ServiceNow platform architecture, CMDB, integrations, and security best practices.
- Experience with enterprise integration patterns and API-led connectivity.
- ServiceNow Certified System Administrator (CSA) required.
- CIS-ITSM, Certified Application Developer (CAD), and AI-related certifications preferred.
- Strong experience in Agile, SAFe, or enterprise delivery frameworks.
- Excellent stakeholder management, executive communication, and leadership skills.
- Ability to drive architectural governance and define enterprise AI standards.