NTT DATA Services· enterprise· Oct 14, 2026 · 13d ago
Plano, TX, US
Location
Hybrid
Work mode
Full-time
Schedule
Lead/Staff
Level
$142K–$211K est.
Estimated compensation
12+ years exp
Experience
Job description
Req ID: 392207
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Architect Lead Advisor to join our team in Plano, Texas (US-TX), United States (US).
Principal AI Domain Technical Leader
Role Summary
As a Principal AI Domain Technical Leader, you will serve as the senior technical delivery leader for one of North America AI Delivery's vertical portfolios: Products, Insurance, Banking & Financial Services, Healthcare/Pharma/Life Sciences, or SLED. Reporting to the AI Delivery Executive for the vertical, with a dotted-line relationship to the North America AI Delivery Technical Lead, you will be responsible for technical delivery excellence, architecture quality, engineering standards, technical risk management, and technical leadership across the portfolio.
This is a hands-on leadership role for a practitioner who combines deep technical expertise with enterprise delivery experience. You will support strategic pursuits, guide complex AI transformations, mentor architects and engineers, provide technical oversight across active engagements, and help resolve delivery challenges before they become client escalations.
You will work closely with AI Delivery Executives, Engagement Leaders, Solution Architects, Engineering teams, Global Centers of Excellence, and client technology stakeholders to ensure AI solutions are delivered with the quality, security, governance, scalability, and operational readiness expected of enterprise-grade platforms.
Success in this role requires someone who remains close to the technology, understands modern AI delivery practices, and is willing to engage directly with teams to solve complex technical and delivery challenges.
Key Responsibilities
• Provide technical leadership across the vertical portfolio, ensuring delivery teams adhere to architecture, engineering, security, responsible AI, governance, and SDLC standards.
• Lead technical oversight on strategic AI transformation programs, helping teams identify and resolve technical, architectural, delivery, and operational risks.
• Partner with AI 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 AI 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 CTOs, Chief Architects, Engineering Leaders, Data Leaders, and AI 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 AI 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 AI engineering, agentic AI, cloud platforms, delivery excellence, and emerging technologies.
Basic Qualifications
• Bachelor's degree or equivalent professional experience, and 12+ years of experience in enterprise technology delivery, architecture, engineering, consulting, or large-scale transformation programs.
• 8+ years of experience leading architecture, engineering, technical delivery, or solution design activities for complex cloud, data, AI, 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, AWS, or Google Cloud) and current experience with modern AI technologies, including machine learning, generative AI, agentic AI, data platforms, MLOps/LLMOps, security, and responsible AI practices.
• Proven ability to lead and influence multidisciplinary teams while engaging effectively with client technology leaders, architects, engineers, and executive stakeholders.
Preferred Qualifications
• Experience leading enterprise AI, Generative AI, agentic AI, cloud modernization, data platform, or digital transformation initiatives.
• Experience within one or more target industries including Insurance, Banking & Financial Services, Products/Manufacturing, Healthcare, Pharma, Life Sciences, or SLED.
• 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, AWS, Google Cloud, TOGAF, SAFe, PMP, or equivalent.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $185,015.00-$284,250.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, us.nttdata.com .
NTT DATA endeavors to make us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at us.nttdata.com . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
Requirements
Must-haves
Req ID: 392207
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Architect Lead Advisor to join our team in Plano, Texas (US-TX), United States (US).
Principal AI Domain Technical Leader
Success in this role requires someone who remains close to the technology, understands modern AI delivery practices, and is willing to engage directly with teams to solve complex technical and delivery challenges.
Provide technical leadership across the vertical portfolio, ensuring delivery teams adhere to architecture, engineering, security, responsible AI, governance, and SDLC standards.
Lead technical oversight on strategic AI transformation programs, helping teams identify and resolve technical, architectural, delivery, and operational risks.
Partner with AI 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 AI 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 CTOs, Chief Architects, Engineering Leaders, Data Leaders, and AI 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 AI 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 AI engineering, agentic AI, cloud platforms, delivery excellence, and emerging technologies.
Nice-to-haves
Experience leading enterprise AI, Generative AI, agentic AI, cloud modernization, data platform, or digital transformation initiatives.
Experience within one or more target industries including Insurance, Banking & Financial Services, Products/Manufacturing, Healthcare, Pharma, Life Sciences, or SLED.
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, AWS, Google Cloud, TOGAF, SAFe, PMP, or equivalent.
Application prep
Use the role’s language and application details while tailoring your materials.