Enterprise AI Solutions Architect for Transformation

NTT Limited

Riyadh

Hybrid

SAR 300,000 - 550,000

Full time

2 days ago
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Job summary

NTT DATA is seeking an AI Solution Architect to drive AI-led growth across designated mega accounts in Financial Services and Retail. You will translate business challenges into AI-enabled outcomes, shape solution narratives, and coordinate with Client Partners, Sales, and Industry Leaders to create compelling propositions.

Based in a hybrid role, you will lead presales activities, develop value propositions, and ensure responsible AI principles are embedded in opportunity framing and design.

Qualifications

  • 8–12 years of experience in consulting, professional services, or industry roles with client-facing responsibility and leadership.
  • At least 5 years leading AI, data, analytics, or digital transformation initiatives.
  • At least 2 years hands-on experience with Generative AI solutions (LLMs, AI agents, GenAI apps).
  • At least 5 years in one or more industry verticals (Banking, Insurance, Manufacturing, Automotive, Healthcare, Public Sector).
  • At least 2 years supporting presales activities including opportunity identification and executive-level deal reviews.

Responsibilities

  • Define and execute the AI go-to-market strategy for mega accounts or regional portfolios.
  • Build relationships with C-suite and senior stakeholders.
  • Identify and shape AI transformation opportunities aligned to client priorities.

Skills

Client-facing
Presales
AI/GenAI
Solution architecture
Leadership

Education

Bachelor's degree

Tools

RFP/RFI responses

Job description

NTT DATA is seeking an AI Solution Architect to drive AI-led growth across designated mega accounts in Financial Services and Retail. You will translate business challenges into AI-enabled outcomes, shape solution narratives, and coordinate with Client Partners, Sales, and Industry Leaders to create compelling propositions.

Based in a hybrid role, you will lead presales activities, develop value propositions, and ensure responsible AI principles are embedded in opportunity framing and design.

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