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# AI Architect - Remote Role

- **Company:** NTT DATA, Inc.
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $187,200.0 - $249,600.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Machine Learning, OpenAI, Microsoft Copilot, Search Technologies, Software Deployment, Software Engineering, Systems Integration, Enterprise Data Management, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Agentic-AI, AI Platforms, Information Technology, Semantic Kernel
- **Published:** October 10, 2026
- **Apply:** https://dejobs.org/x/x/6521103CB7844398824EEB6CC36BF7EC/job/

## About the Role

8+ years of software engineering, data, cloud, AI/ML, or architecture experience, including solution architecture responsibilities.

Strong hands-on experience with Generative AI, LLMs, RAG, AI agents, prompt/context engineering, embeddings, and vector search.

Strong experience with Microsoft Azure AI/OpenAI, Azure AI Foundry, OpenAI, AWS, or similar enterprise AI/cloud platforms.

Experience defining AI architecture patterns, security, governance, integrations, APIs, evaluation, and production deployment strategies.

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent professional experience.

Preferences

Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangChain, or similar AI frameworks.

Experience architecting enterprise RAG solutions, AI agents, copilots, and multi-agent workflows.

Experience with AI evaluation, observability, guardrails, Responsible AI, model governance, and AI security.

## Description

In this role you will be responsible for:

Define end-to-end AI solution architecture, patterns, standards, and technical roadmaps for enterprise AI and Generative AI solutions.

Architect solutions using Large Language Models (LLMs), RAG, AI agents, prompt/context engineering, embeddings, vector search, APIs, and cloud AI services.

Design scalable architectures across AI models, enterprise data, applications, APIs, security, integration, and cloud infrastructure.

Lead architecture reviews and translate business and non-functional requirements into detailed technical designs and implementation guidance.

Partner with AI Engineers, Data Engineers, Product, Cloud, and Security teams to guide solutions from prototype through production.

Establish standards for AI security, governance, guardrails, evaluation, observability, performance, scalability, and Responsible AI.