ServiceNow AI Architect
- ๐บ๐ธ United States
- On-site
- Senior
- 2 months ago
- AI
- RAG
- MCP
- Change Management
- Machine Learning
- ServiceNow
- Model Context Protocol
- Certified System Administrator
What you will do in this role
AI Strategy Transformation Advisory
Lead enterprise AI transformation engagements from opportunity identification and business case development through to operating model design and value realization
Advise Csuite and senior stakeholders on AI strategy prioritization frameworks and transformation roadmaps tailored to their industry maturity and risk appetite
Facilitate discovery workshops currentstate assessments and futurestate visioning sessions to establish a shared transformation agenda
Define AIenabled target operating models including process redesign workforce impact analysis and governance structures
Solution Architecture Delivery Leadership
Design endtoend solution architectures spanning Now Assist AI Agents Agentic workflows AI Control Tower RAG knowledge graphs and enterprise integrations A2A MCP
Lead scoping and solutioning for complex multiworkload AI engagements ensuring architectural integrity scalability and alignment to customer outcomes
Provide handson architecture leadership during pilot and earlyphase delivery establishing patterns and standards for broader team execution
Develop reusable practice IP reference architectures deployment patterns transformation playbooks and verticalized usecase catalogs
AI Governance Risk Responsible AI
Define and embed AI governance frameworks covering data stewardship model risk bias controls audit trails and compliance postures
Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies
Partner with AI Control Tower to establish monitoring observability and continuous optimization capabilities postdeployment
Adoption Enablement Change Management
Lead AI adoption strategies including readiness assessments stakeholder engagement plans AI literacy programmers and change communications
Define adoption KPIs and value realization metrics track and report outcomes provide consultative guidance for continuous optimization and expansion
Coach customer teams to build internal AI capability reducing dependency and accelerating longterm selfsufficiency
Monitor adoption usage and value realization metrics postdeployment provide recommendations for risk mitigation and growth
Practice Development Thought Leadership
Collaborate crossfunctionally with Sales Solution Consulting Customer Success Platform and Product teams to embed AI advisory across the customer lifecycle
Build and maintain industryspecific AI advisory playbooks and frameworks verticalized usecase catalogs value models governance templates and deployment patterns to support scalable repeatable delivery
Act as a thoughtleader internally and externally contribute to white papers pointsofview reference architectures bestpractice guides and represent the organization at AI forums and customer briefings
Support presales by qualifying opportunities shaping proposals and presenting transformation vision to executive buyers
Qualifications
To be successful in this role you will have
Experience in leveraging or critically thinking about how to integrate AI into work processes decisionmaking or problemsolving This may include using AIpowered tools automating workflows analyzing AIdriven insights or exploring AIs potential impact on the function or industry
10 years of experience in management consulting enterprise architecture or a senior technology advisory role with a demonstrated focus on Artificial Intelligence Machine Learning or digital transformation at enterprise scale
ServiceNow domain knowledge including Now Assist and Generative AI Skills Skill Kit AI Agents and Agentic workflows AI Control Tower RetrievalAugmented Generation RAG Knowledge Graphs AgenttoAgent A2A and Model Context Protocol MCP
Proven track record designing and managing complex multistakeholder AI or digitaltransformation engagements including usecase definition business case development integration data strategy governance and operational adoption
Strong understanding of enterprise data architecture data quality knowledge management integrations and compliance and regulatory frameworks
Excellent communication and interpersonal skills ability to articulate technical and business value to Clevel executives align stakeholders and influence strategic decisionmaking
Experience working in fastpaced dynamic environments with capability to manage ambiguity and tailor consulting deliverables to different customer maturity levels from early adopters to AIready enterprises
Broad familiarity with the ServiceNow platform and modules ITSM CSM FSM HRSD App Engine ideally including implementation or architecture experience ServiceNow
certifications Certified System Administrator Certified Implementation Specialist Certifi
ServiceNow AI Architect ยท LTM