{"id":2934264,"url":"https://alion.io/job/ltm-servicenow-ai-architect","title":"ServiceNow AI Architect","company":{"id":9353,"name":"LTM","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":77,"open_postings":170,"ghost_share":0,"stale_share":0.935,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United 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Strategy Transformation Advisory\nLead enterprise AI transformation engagements from opportunity identification and business case development through to operating model design and value realization\nAdvise Csuite and senior stakeholders on AI strategy prioritization frameworks and transformation roadmaps tailored to their industry maturity and risk appetite\nFacilitate discovery workshops currentstate assessments and futurestate visioning sessions to establish a shared transformation agenda\nDefine AIenabled target operating models including process redesign workforce impact analysis and governance structures\nSolution Architecture Delivery Leadership\nDesign endtoend solution architectures spanning Now Assist AI Agents Agentic workflows AI Control Tower RAG knowledge graphs and enterprise integrations A2A MCP\nLead scoping and solutioning for complex multiworkload AI engagements ensuring architectural integrity scalability and alignment to customer outcomes\nProvide handson architecture leadership during pilot and earlyphase delivery establishing patterns and standards for broader team execution\nDevelop reusable practice IP reference architectures deployment patterns transformation playbooks and verticalized usecase catalogs\nAI Governance Risk Responsible AI\nDefine and embed AI governance frameworks covering data stewardship model risk bias controls audit trails and compliance postures\nSupport customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies\nPartner with AI Control Tower to establish monitoring observability and continuous optimization capabilities postdeployment\nAdoption Enablement Change Management\nLead AI adoption strategies including readiness assessments stakeholder engagement plans AI literacy programmers and change communications\nDefine adoption KPIs and value realization metrics track and report outcomes provide consultative guidance for continuous optimization and expansion\nCoach customer teams to build internal AI capability reducing dependency and accelerating longterm selfsufficiency\nMonitor adoption usage and value realization metrics postdeployment provide recommendations for risk mitigation and growth\nPractice Development Thought Leadership\nCollaborate crossfunctionally with Sales Solution Consulting Customer Success Platform and Product teams to embed AI advisory across the customer lifecycle\nBuild and maintain industryspecific AI advisory playbooks and frameworks verticalized usecase catalogs value models governance templates and deployment patterns to support scalable repeatable delivery\nAct 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\nSupport presales by qualifying opportunities shaping proposals and presenting transformation vision to executive buyers\nQualifications\nTo be successful in this role you will have\nExperience 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\n10 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\nServiceNow 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\nProven track record designing and managing complex multistakeholder AI or digitaltransformation engagements including usecase definition business case development integration data strategy governance and operational adoption\nStrong understanding of enterprise data architecture data quality knowledge management integrations and compliance and regulatory frameworks\nExcellent communication and interpersonal skills ability to articulate technical and business value to Clevel executives align stakeholders and influence strategic decisionmaking\nExperience 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\nBroad familiarity with the ServiceNow platform and modules ITSM CSM FSM HRSD App Engine ideally including implementation or architecture experience ServiceNow\ncertifications Certified System Administrator Certified Implementation Specialist 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