Enterprise AI Strategy Advisor (Client-Facing)

LTM

Richmond (VA)

On-site

USD 120,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Comprehensive Medical Plan
Short Term & Long-Term Disability
401(k) Plan with Company match
Life Insurance
Vacation & Paid Holidays
Paternity & Maternity Leave

Job summary

LTIMindtree is seeking an experienced Client-Facing AI Advisory Consultant to partner with client leadership and drive AI-driven transformations. You will bridge business objectives with AI capabilities, shaping strategy, developing business cases, and guiding adoption from concept through execution.

Based onsite in a client-facing role, you will collaborate with executives and engineering teams to ensure delivery of scalable AI solutions while embedding Responsible AI guardrails and governance

Qualifications

  • Proven experience in consulting, technology strategy, digital transformation, or enterprise delivery leadership roles.
  • Experience leading enterprise AI or digital transformation initiatives in client-facing environments.
  • Strong understanding of Agentic AI, Foundation Models, LLMs, AI solution architecture and enterprise AI platforms.

Responsibilities

  • Identify and advise on high-value AI use cases and opportunities across the enterprise value chain.
  • Develop AI adoption frameworks aligned with business objectives and governance.
  • Guide clients on AI governance, risk management, and Responsible AI practices.
  • Translate AI capabilities into tangible business outcomes and guide transformation journeys.

Skills

Client engagement
Executive stakeholder management
Program and project management
AI governance & Responsible AI
AI Solution Architecture

Job description

LTIMindtree is seeking an experienced Client-Facing AI Advisory Consultant to partner with client leadership and drive AI-driven transformations. You will bridge business objectives with AI capabilities, shaping strategy, developing business cases, and guiding adoption from concept through execution.

Based onsite in a client-facing role, you will collaborate with executives and engineering teams to ensure delivery of scalable AI solutions while embedding Responsible AI guardrails and governance

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