About the role

Role: ServiceNow Architect

Experience : 10+ years
Location: Pune, Bangalore, Hyderabad, Indore, Ahmedabad
Notice Period: Absolute immediate, 15 days or less

Job Descrption:

ServiceNow Architect – Now Assist & AI Solutions
As a ServiceNow Architect focused on Now Assist and AI-led transformation, you will drive the design and delivery of intelligent, scalable, and governed ServiceNow solutions for large enterprise.
You will play a critical role in enabling organizations to transition from traditional workflows to AI-augmented operations, leveraging ServiceNow’s Now Assist ecosystem, AI Agents, and platform intelligence capabilities.
This role requires a strong balance of architecture, hands-on expertise, and consulting mindset, with the ability to translate business problems into enterprise-grade AI solutions aligned with governance and security standards.

Key Responsibilities:

Lead end-to-end architecture and delivery of AI-powered ServiceNow solutions, with a focus on Now Assist and intelligent automation
Define and implement AI architecture patterns, including:
AI Agents and agentic workflows
Skill-based orchestration using Now Assist SkillKit
Integration of out-of-the-box and custom AI capabilities
Drive adoption of Now Assist across key workflows (e.g., ITSM, HRSD, Virtual Agent), enabling measurable improvements in:
Productivity
Resolution time
User experience
Architect and govern Predictive Intelligence and Task Intelligence solutions for classification, routing, and recommendations
Establish and enforce AI governance frameworks, including:
Role-based and attribute-based access controls
Data access boundaries and least-privilege principles
Segregation models (e.g., multi-entity / member firm constructs)
Define integration strategies with enterprise AI ecosystems, including LLM providers (e.g., Now LLM, Azure OpenAI), ensuring secure and compliant data exchange
Ensure solutions are aligned with enterprise architecture, security, risk, and compliance standards, particularly for AI-enabled use cases
Partner with business stakeholders to identify, prioritize, and deliver high-value AI use cases
Develop architecture artifacts and design documentation covering business, technical, security, and operational aspects
Provide technical leadership across teams, including:
Guiding developers on best practices
Reviewing designs and implementations
Mentoring junior resources

Required Experience & Skills:

10+ years of experience within the ServiceNow ecosystem, with strong architectural exposure
Proven experience designing and delivering enterprise-scale ServiceNow solutions
Hands-on experience with:
Now Assist (GenAI capabilities)
AI Agents / Agentic AI frameworks
Now Assist SkillKit (custom skill development)
Virtual Agent with AI integration
Predictive Intelligence and Task Intelligence
Strong understanding of ServiceNow platform architecture, including ITSM and/or HRSD
Experience with:
Integration patterns (REST APIs, Integration Hub)
Security models (ACLs, roles, scoped applications)
Data architecture and governance
Working knowledge of AI/ML concepts, prompt engineering, and LLM-based solution design
Demonstrated ability to define and implement governed, scalable, and reusable solutions

Preferred Qualifications:

Experience integrating ServiceNow with enterprise LLM platforms (e.g., Now LLM, Azure OpenAI)
Exposure to AI governance, risk, and compliance frameworks
Experience working in multi-region / multi-business unit environments
ServiceNow Certifications:
CSA / CAD (expected)
Certified Technical Architect (CTA) – strongly preferred

Leadership & Consulting Capabilities:

Strong consulting mindset with the ability to:
Translate business challenges into technology solutions
Influence stakeholders across business and IT
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to diverse audiences
Proven ability to lead distributed teams across geographies
Strong problem-solving, prioritization, and decision-making capabilities

What You Will Drive
Transition from workflow automation → AI-driven operations
Scalable adoption of Now Assist and intelligent capabilities across the enterprise
Establishment of robust AI governance and control frameworks
Delivery of high-impact, reusable AI solutions aligned with business outcomes