AI Architect - Hybrid in Charlotte, NC

NTT DATA, Inc.; Charlotte (NC); Hybrid; USD 103,000 - 166,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible spending or health savings

Life and AD&D insurance

Paid time off

401k with company match

Job summary

NTT DATA is seeking an AI Architect in Charlotte, NC to design and lead enterprise-scale AI and Generative AI solutions. The role focuses on architecture, strategy, and production-ready implementations across AWS, Azure, and GCP.

You will work with data scientists, software developers, security teams, and business leaders to translate requirements into scalable, secure AI ecosystems and integration patterns. This is a hybrid, US-based role with a strong emphasis on governance and responsible AI.

Qualifications

• 10+ years in software/enterprise architecture.
• 5+ years AI/ML, 3+ years Generative AI.
• Hands-on with Generative AI and LLM-based solutions.
• 3+ years on one or more major cloud platforms: AWS, Azure, or GCP.
• Strong Python development experience.
• Experience with RAG, vector search, embeddings, and knowledge-retrieval.
• Experience integrating AI/LLM services via REST APIs.

Responsibilities

• Design and lead AI and Generative AI architectures for enterprise apps.
• Define AI technology strategies, reference architectures, and roadmaps.
• Translate requirements into secure, scalable AI solutions.
• Evaluate models, platforms, and cloud services per needs.
• Establish patterns for scalability, reliability, security, and cost.
• Guide AI initiatives from PoC to production deployment.

Skills

Enterprise architecture

AI/ML

Generative AI

LLMs

Python

REST APIs

Cloud platforms

Communication

Education

Bachelor's degree in Computer Science, Engineering, AI, Data Science

Tools

AWS Bedrock

OpenAI

LangChain

LangGraph

LlamaIndex

Pinecone

Azure AI Search

OpenSearch

Job description

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 Architect

Experience: 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 Role

We 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

• 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
• 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.
• Design secure and scalable AI solutions across AWS, Azure, and/or Google Cloud Platform (GCP).
• 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.
• 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 GCP.
• 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:
• AWS Bedrock
• OpenAI
• 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.

Education

Bachelor'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 Transparency

Where 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 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 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, 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.

Nearest Major Market: Charlotte
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