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NTT Data

Global IT services and consulting provider.

AI Architect Lead Advisor

AI & Machine LearningUpdated on Nov 14
Full-timePlano, TX, USARemote

About the Job

Requirements

  • A bachelor's degree or equivalent professional experience, and 12+ years of experience in enterprise technology delivery, architecture, engineering, consulting, or large-scale transformation programs.
  • At least 8 years of experience leading architecture, engineering, technical delivery, or solution design activities for complex cloud, data, artificial intelligence, digital, or enterprise transformation initiatives.
  • Demonstrated experience delivering enterprise technology solutions in production environments, including responsibility for technical quality, governance, architecture decisions, risk management, and delivery outcomes.
  • Strong technical expertise in at least one major cloud ecosystem: Azure, Amazon Web Services, or Google Cloud; and current experience with modern artificial intelligence technologies, including machine learning, generative artificial intelligence, agentic artificial intelligence, data platforms, MLOps/LLMOps, security, and responsible artificial intelligence practices.
  • Proven ability to lead and influence multidisciplinary teams while engaging effectively with client technology leaders, architects, engineers, and executive stakeholders.

Responsibilities

  • Provide technical leadership across the vertical portfolio, ensuring delivery teams adhere to architecture, engineering, security, responsible artificial intelligence, governance, and software development lifecycle standards.
  • Lead technical oversight on strategic artificial intelligence transformation programs, helping teams identify and resolve technical, architectural, delivery, and operational risks.
  • Partner with artificial intelligence delivery executives and engagement leaders to assess delivery health, support recovery efforts, and provide technical leadership for escalations and complex client situations.
  • Support strategic pursuits by validating technical approaches, delivery models, staffing assumptions, solution feasibility, and implementation risks before client commitments are made.
  • Establish and maintain reusable reference architectures, engineering patterns, delivery accelerators, and best practices that improve quality, consistency, and delivery speed across the portfolio.
  • Conduct technical reviews, delivery audits, and quality assessments to ensure active programs meet artificial intelligence studio standards and client expectations.
  • Partner with architects, engineers, data scientists, and platform teams to address technical challenges and improve delivery outcomes across active engagements.
  • Build trusted relationships with client technology stakeholders, including chief technology officers, chief architects, engineering leaders, data leaders, and artificial intelligence leaders.
  • Serve as a technical advisor during executive client discussions, translating complex technical concepts into business-relevant outcomes and risks.
  • Mentor and coach architects, engineers, and technical leads while helping identify capability gaps, development needs, and technical succession opportunities.
  • Partner with the North America artificial intelligence delivery technical lead to continuously improve technical standards, delivery methodologies, governance practices, and capability development.
  • Contribute to thought leadership, innovation, and continuous improvement efforts related to artificial intelligence engineering, agentic artificial intelligence, cloud platforms, delivery excellence, and emerging technologies.

Desired Qualifications

  • Experience leading enterprise artificial intelligence, generative artificial intelligence, agentic artificial intelligence, cloud modernization, data platform, or digital transformation initiatives.
  • Experience within one or more target industries, including insurance, banking and financial services, products/manufacturing, healthcare, pharmaceuticals, life sciences, or state, local, and education sectors.
  • Background with global systems integrators, consulting organizations, or large-scale technology services environments.
  • Experience supporting major pursuits, solution shaping, technical due diligence, architecture reviews, or executive technology advisory engagements.
  • Experience leading technical recovery efforts, transformation programs, or delivery remediation initiatives.
  • Demonstrated success building reusable frameworks, reference architectures, accelerators, standards, or engineering best practices adopted across multiple teams.
  • Relevant certifications such as Azure, Amazon Web Services, Google Cloud, TOGAF, SAFe, PMP, or equivalent.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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