ServiceNow AI Architect

XCUTIVES INC.

Edison (NJ)

On-site

USD 150,000 - 210,000

Full time

46 hours ago
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Job summary

XCUTIVES INC. seeks a Level 4 ServiceNow AI Architect to lead end‑to‑end AI-enabled transformations using the Now Assist platform. You will own architecture, design, and delivery for multi‑tower programs with strong client interaction and offshore collaboration.

Experience across ServiceNow AI Studio, Agentic AI, AI governance (Control Tower), and cross‑platform integrations (AWS Bedrock) is essential for success in this hands‑on, leadership role.

Qualifications

  • Hands-on experience designing and delivering Now Assist AI platforms and agents.

Responsibilities

  • Drive solution architecture and technical design for use cases on the Now Assist AI platform.

Skills

ServiceNow NOW Assist
AI Studio
Agentic AI
AI Control Tower
Enterprise AI knowledge
Hands-on architecture leadership
ITSM ITOM ITAM
CMDB & Service Mapping
APIs & Scripted APIs
Workflow Data Fabric
A2A / multi-agent orchestration
AWS Bedrock integration

Tools

ServiceNow Now Assist
AI Studio
REST APIs
Scripted APIs
AWS Bedrock

Job description

We are seeking a Level 4 ServiceNow AI Architect (with experience in designing and developing the Now Assist based AI solutions) to lead solution architecture, design, and delivery for AI-enabled transformation solutions based on ServiceNow Now Assist platform. This is a hands‑on, client‑facing role requiring deep technical expertise across ServiceNow AI platform, Agentic AI, and enterprise integrations.

The role focuses on end‑to‑end architecture ownership for specific workstreams or towers, working closely with clients, onsite stakeholders, and offshore delivery teams to enable intelligent automation and AI‑driven workflows.

Must Haves, (AT LEAST TWO)
  • 1. ServiceNow NOW Assist,
  • 2. SN AI Agent studio,
  • 3. Agentic AI,
  • 4. AI Control Tower,
  • 5. Enterprise AI for Business use cases knowledge and experience
Key Responsibilities
Architecture & Delivery Ownership
  • Drive the solution architecture and technical design for identified use cases with ServiceNow Now assist AI platform as the basis.
  • Build, deploy and operationalize Now Assist AI Agents and integrations using ServiceNow AI Studio.
  • Define (in coordination with customer) enterprise architecture vision for:
  • Agentic AI adoption
  • AI governance (AI Control Tower)
  • Lead multi‑tower transformation programs (ITSM, ITOM, ITAM) as required for AI enablement
  • Architect cross‑platform AI ecosystems:
  • Multi-agent orchestration (MCP, A2A)
Hands‑on Platform & AI Implementation
  • Implement and optimize Now Assist capabilities, including:
  • AI agent workflows and instruction tuning
  • Security and governance guardrails
  • Work extensively on:
  • Workflow Data Fabric
  • Automation Engine
Integration & Engineering Leadership

Design and guide implementation of integration solutions, including:

  • Workflow Data Fabric-based integrations
  • REST APIs and Scripted APIs
  • Enable cross‑platform AI integrations, connecting ServiceNow with:
  • AWS Bedrock
    • MCP and Agent-to-Agent (A2A) frameworks
Delivery Leadership
  • Provide technical leadership to offshore teams, ensuring quality, scalability, and adherence to standards.
  • Review designs, code, and deployments to ensure best practices and performance optimization.
  • Collaborate with cross‑functional teams to deliver end‑to‑end solutions across service towers
Client Engagement
  • Act as a primary technical interface for client stakeholders
  • Primary interface for: Delivery Director / Enterprise Architects
  • Leads: Transformation roadmaps
  • Demos and walkthroughs
Core Technical Skills
AI & Automation
  • Hands‑on experience with:
  • ServiceNow Now Assist (custom + OOTB skills)
  • AI Studio and AI Agent development
  • Working knowledge of:
  • Agentic AI patterns
  • AI orchestration and guardrails
ServiceNow Expertise

Strong hands‑on experience in:

  • ITSM, ITOM (Event Management)
  • CMDB, Discovery, Service Mapping
  • Platform workflows and Automation Pro
  • Deep understanding of ServiceNow platform architecture and extensibility
Integration & Data
  • Strong expertise in:
  • APIs and Scripted APIs
  • Workflow Data Fabric
  • Working knowledge of:
  • Knowledge Graphs
Preferred Skills
  • Exposure to AI Control Tower concepts
  • Experience with multi‑agent ecosystems (MCP, A2A protocols)
  • Integration experience with hyperscale AI platforms (AWS / Azure)
  • Familiarity with ServiceNow playbooks and Ansible integrations
  • Hands‑on Architecture Leadership – Designs and implements solutions, not just conceptual oversight
  • Proven track record in ServiceNow/Now Assist AI implementations and integrations
  • Delivery Ownership – Owns outcomes for a module/tower within a larger program
  • Technical Depth – Deep platform and integration expertise with the ability to troubleshoot and guide builds
  • Client Interaction – Confident engagement with mid‑level client stakeholders
  • Team (Leadership) – Guides offshore teams, ensures execution quality
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