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ServiceNow AI Architect

Ltimindtree · ltimindtree.com
Santa ClaraLead / Manager10+ yrs
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Subscribers got this job on 20 October 2026. New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first

The job in short

Designing AI systems architecture.

ServiceNowMachine learningGenerative AIRAGAgenticAuditCompliance

Details

Found
8 d ago · posted 2026-08-10
Location as listed
Santa Clara - California - USA
Role
Machine Learning / AI Engineer
Source
The company’s own careers site

Full description

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

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