Locations : - Charlotte NC, Dallas, Iselin, NJ
Hybrid - 2/3 days onsite
12 months contract with possible extension
Company Overview:
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 to join our team in Charlotte, North Carolina (US-NC), United States (US).
Job Description:
Job Duties: Role Overview:
We are seeking a Principal GenAI Architect to serve as a hands-on practitioner and core technical visionary. This is a rare, high-impact role requiring deep expertise in Generative AI, distributed systems, and agentic architectures. You will act as the central design authority for our GenAI capabilities within a matrixed organization, bridging internal platform development, third-party vendor reviews, and cutting-edge agentic workflows.
Your primary mandate is to "push the thinking "—elevating our AI strategy while remaining deeply hands-on. You will oversee all GenAI use cases, driving architectural excellence across cloud, on-premise, and edge environments, with a specific focus on applications within the regional banking and financial services sector.
Key Responsibilities:
GenAI Architecture & Thought Leadership:
Serve as the ultimate technical authority for GenAI architecture across the enterprise, reviewing and guiding all AI/ML use cases within a matrixed organization.
Push the boundaries of our technical vision, acting as a forward-thinking catalyst for how GenAI is built and deployed.
Lead the architectural review process for all third-party AI integrations coming into the bank (e.g., ServiceNow, Five9, Pega), ensuring they meet strict security, performance, and integration standards.
Agentic Stack & AI Platform Engineering:
Spearhead the growth and development of our agentic stack, designing agentic frameworks that incorporate robust workflow (WF) logic.
Architect sophisticated retrieval systems and agent data stacks, utilizing vector databases, hybrid search, BM25, and graph-based reasoning.
Implement solutions for externalized long-term memory, contextual data freshness, and Model Context Protocol (MCP) servers.
Lead prompt and context engineering strategies to maximize model accuracy and reliability.
Infrastructure, Inference & Edge Computing:
Design, implement, and scale high-performance distributed systems and AI/ML platforms.
Optimize LLM inference, implementing advanced batching, caching strategies, and load balancing techniques.
Evaluate and implement dynamic deployment strategies, weighing the trade-offs of deploying small/local LLMs at the edge versus leveraging hyperscaler inferencing via cloud APIs.
Architect and test distributed API gateways across hybrid (cloud and on-premise) environments.
Oversee on-premise hardware strategy, including rigorous GPU management, utilization, and thermal/compute optimization.
Minimum Skills Required: Required Qualifications
Engineering Foundation: 12-15 years experience with strong proficiency in at least one core programming language (e.g., Python, Go, C++) and deep experience building large-scale distributed systems.
GenAI & LLM Expertise: 5-7 years hands-on, practitioner-level experience with LLM inference optimization, fine-tuning, and deployment strategies.
Agentic Architectures: 3-5 years experience with a proven track record of building complex agentic systems, evaluation frameworks, and advanced retrieval pipelines (RAG, Vector DBs, Graph reasoning).
Cloud & Infrastructure: 10-12 years extensive experience with Kubernetes, Cloud Infrastructure (AWS, Google Cloud Platform, or Azure), and managing high-availability platforms.
Hardware / On-Premise Knowledge: 8-10 years experience and understanding of GPU orchestration, resource management, and hardware optimization in on-premise or hybrid data centers.
Strategic Communication: 12-15 years experience and ability to navigate a matrixed organization, translate complex technical trade-offs to leadership, and rigorously evaluate third-party enterprise platforms.
Nice to Have
Domain experience in the Banking or Financial Services industry.
Interest or hands-on experience in integrating Blockchain technologies and decentralized frameworks.
#LI-NorthAmerica
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make 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 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.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($100 - 110/hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate''s actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: CUEDATA
- Position Id: 26-00904
- Posted 6 hours ago
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