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Salary
≈ $138k – $267k per year (Estimated)
Location
In office (Santa Clara)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Aug 10, 2026. LTM scores B on the Alion truth index.

Overview
Company
Impact
Profile match

LTM

LTM (formerly LTIMindtree) is a prominent global technology consulting and digital solutions enterprise that delivers comprehensive IT, cloud, and business transformation services to multinational corporations. Headquartered in Mumbai, India, the company operates an extensive international delivery network specializing in artificial intelligence, data engineering, and enterprise systems integration. As a subsidiary of the industrial conglomerate Larsen & Toubro, it partners with leading organizations across sectors such as banking, healthcare, and manufacturing to drive operational efficiency and digital modernization.

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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