Req ID: 393086
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 - Hybrid in Charlotte, NC to join our team in Charlotte, North Carolina (US-NC), United States (US).
AI ArchitectExperience: 10+ years in technology / software architecture | 5+ years AI/ML | 3+ years Generative AI
Focus: Generative AI | LLMs | RAG | AI Agents | Cloud AI | Enterprise Architecture
Industry: Financial Services / Regulated Industries preferred
About the RoleWe are seeking an experienced
AI Architect to design and lead the development of enterprise-scale
Artificial Intelligence and Generative AI solutions.
This role will define AI architecture, technology strategy, and implementation patterns while helping organizations move AI initiatives from
proof of concept to secure, scalable production solutions.
The ideal candidate combines strong enterprise architecture experience with hands-on knowledge of
LLMs, Generative AI, RAG, AI agents, cloud platforms, AI/ML services, and enterprise integration. You will work closely with business leaders, data scientists, ML engineers, software developers, security teams, and enterprise architects to turn emerging AI capabilities into practical business solutions.
Responsibilities:AI & Enterprise Architecture- Design and lead AI and Generative AI architectures for enterprise applications and business solutions.
- Define AI technology strategies, reference architectures, standards, and implementation roadmaps.
- Translate business requirements into secure, scalable, and production-ready AI solutions.
- Evaluate and recommend AI models, platforms, frameworks, and cloud services based on business and technical requirements.
- Establish architecture patterns that support scalability, reliability, performance, security, and cost efficiency.
- Guide AI initiatives from initial concept and PoC through production implementation.
Generative AI & LLM Solutions- Design solutions leveraging LLMs, Generative AI, RAG, prompt engineering, AI agents, and AI/ML services.
- Architect retrieval-augmented generation (RAG) solutions, including:
- Vector search
- Embeddings
- Knowledge retrieval
- Document processing
- Knowledge bases
- Context management
- Evaluate LLM performance, accuracy, scalability, latency, and cost.
- Design approaches for prompt engineering, model selection, evaluation, and continuous improvement.
- Identify opportunities to apply AI and automation to complex enterprise business processes.
Cloud & Enterprise Integration- Design secure and scalable AI solutions across AWS, Azure, and/or Google Cloud Platform (Google Cloud Platform).
- Integrate AI capabilities with enterprise applications, APIs, databases, data platforms, and distributed systems.
- Design REST API and service-integration patterns for AI/LLM capabilities.
- Evaluate cloud-native AI/ML services and determine the appropriate architecture for enterprise use cases.
- Ensure AI solutions integrate effectively with existing enterprise technology ecosystems.
AI Security, Governance & Responsible AI- Establish architecture standards for AI security, governance, privacy, and responsible AI.
- Incorporate data protection, access controls, security, and compliance requirements into AI architectures.
- Support model-risk management and appropriate governance for enterprise AI applications.
- Define controls for AI solution monitoring, evaluation, auditability, and operational risk.
- Partner with security, risk, privacy, and compliance teams to ensure solutions meet enterprise and regulatory requirements.
Innovation & Production Delivery- Lead AI proofs of concept, prototypes, and technical evaluations.
- Assess emerging AI technologies and determine their practical enterprise applications.
- Establish criteria for moving AI solutions from experimentation to production.
- Define requirements for performance, scalability, reliability, monitoring, observability, and cost management.
- Help establish repeatable architecture patterns and best practices for enterprise AI adoption.
Technical Leadership- Provide technical direction to AI/ML engineers, software developers, data scientists, and architecture teams.
- Mentor engineering teams on AI architecture, implementation patterns, and best practices.
- Lead architecture reviews and communicate technical decisions to both technical and non-technical stakeholders.
- Collaborate with product, engineering, data, security, infrastructure, and business teams.
- Clearly communicate complex AI concepts, technical trade-offs, and recommendations to senior stakeholders.
Required Qualifications- 10+ years of experience in software, technology, solution, or enterprise architecture.
- 5+ years of experience designing and implementing AI/ML or advanced analytics solutions.
- 3+ years of hands-on experience with Generative AI and LLM-based solutions.
- 3+ years of experience with one or more major cloud platforms: AWS, Azure, or Google Cloud Platform.
- Strong Python development experience and familiarity with modern AI/ML frameworks.
- Hands-on experience designing RAG, vector search, embeddings, and knowledge-retrieval solutions.
- Experience integrating AI and LLM services through REST APIs and enterprise applications.
- Experience with enterprise application integration, APIs, databases, and distributed systems.
- Experience with AI security, governance, responsible AI, data privacy, and/or model-risk practices.
- Proven experience leading AI PoCs, prototypes, and/or production implementations.
- Strong experience working across engineering, data, product, architecture, security, and business teams.
- Excellent communication and stakeholder-management skills.
Preferred Qualifications- Experience designing AI agents and agentic workflows.
- Experience with platforms and services such as:
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- OpenAI
- Anthropic
- Experience with LangChain, LangGraph, LlamaIndex, or comparable AI application frameworks.
- Experience with vector databases and search technologies such as Pinecone, Azure AI Search, OpenSearch, or similar platforms.
- Experience with MLOps / LLMOps, including model deployment, monitoring, evaluation, observability, and lifecycle management.
- Experience with AI evaluation frameworks and LLM performance optimization.
- Experience implementing enterprise-scale AI modernization and transformation initiatives.
- Experience in financial services, insurance, healthcare, or other regulated industries.
- Familiarity with cloud-native architecture, microservices, APIs, containers, and distributed systems.
EducationBachelor's degree in
Computer Science, Engineering, Artificial Intelligence, Data Science, or a related discipline.
Equivalent professional experience and demonstrated expertise in enterprise AI architecture may be considered.
Why This Role?This is an opportunity to help shape the
enterprise AI strategy and architecture of a major organization while working with some of the industry's most rapidly evolving technologies.
You will have the opportunity to design solutions using
Generative AI, LLMs, RAG, AI agents, and cloud AI platforms, while helping move innovative concepts from experimentation into secure, scalable production environments.
If you are an AI architect who combines
strong enterprise architecture skills with hands-on Generative AI expertise and enjoys solving complex business problems with emerging technology, we'd like to hear from you.
Pay TransparencyWhere required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $102,675-$165,799. 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 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 DATANTT 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 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 and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, ;br>
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