ServiceNow AI Architect

LTM; Santa Clara (CA); Presencial; USD 180.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Plan

Disability Insurance

401(k) Plan

Life Insurance

Paid Leave

Paternity & Maternity Leave

Descripción de la vacante

LTIMindtree is seeking a senior AI Strategy Transformation Advisor to lead enterprise AI programs across opportunity to value realization in the US. You will work with Csuite and senior stakeholders to tailor transformation roadmaps and governance models, and drive adoption through change management and hands-on architecture leadership.

You will design end-to-end AI architectures, develop reusable playbooks, and collaborate with Sales, Customer Success, and Product teams to scale advisory across

Formación

• 10+ years in management consulting or enterprise technology advisory focused on AI.
• Proven track record delivering large-scale AI or digital transformation programs.
• Strong communication with C-suite and governance expertise.
• Knowledge of data governance, regulatory considerations in AI.

Responsabilidades

• 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.

Conocimientos

AI Strategy

Executive Advisory

Enterprise Architecture

ServiceNow

RAG Knowledge Graphs

Transformation Leadership

Change Management

Herramientas

ServiceNow

Descripción del empleo

Role 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

Other Details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits And Perks

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer

The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.