successfactors
AI Architect Lead Advisor
NTT DATA Services
Plano, USA
Lead · 8+ years experience
Onsite
Discovered 1 weeks ago
awsazuregcp
Key Skills for This Role
awsazuregcp
Full Job Posting
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, https://us.nttdata.com/en/contact-us . NTT DATA endeavors to make https://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 https://us.nttdata.com/en/contact-us . 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 .
About NTT DATA Services
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at NTT DATA Services
SAP ARIBA
Hyderabad, IND
Discovered Today
SAP S/4HANA Finance Solution Architect / FICO Lead
Bengaluru, IND
Discovered Today
Network Engineering Advisor
Noida, IND
Discovered Today
Developer or Technical Lead (Niche or Regular), Cloud Consultants, QA Tester, QA Lead, Data Migratio
Bengaluru, IND
Discovered Today
Developer or Technical Lead (Niche or Regular), Cloud Consultants, QA Tester, QA Lead, Data Migratio
Bengaluru, IND
Discovered Today
Data Architect Sr. Advisor
Chennai, IND
Discovered Today
Senior .NET Full Stack developer
Hyderabad, IND
Discovered Today
Network Engineering Specialist Advisor
Noida, IND
Discovered Today