Enterprise AI Architect: GenAI, RAG & MLOps Lead

NTT DATA, Inc.; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

NTT DATA, Inc. is seeking an AI Architect in Dallas to design and lead enterprise-scale AI, ML, and Generative AI solutions on AWS and Azure. You will be responsible for end-to-end AI architecture, ensuring integration with enterprise systems and governance standards.

The ideal candidate will have a robust background in MLOps, AI frameworks, and cloud platforms. The position offers opportunities to lead innovative projects in a collaborative environment and contribute to AI-driven solutions.

Qualifications

• 7+ years deep knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
• 5+ years advanced expertise deploying on AWS, Azure AI, or Google Vertex AI.
• 5+ years proficiency designing feature stores, vector databases, and real-time/batch data pipelines.
• 3-5 years familiarity with LLMs, Generative AI, RAG, PyTorch, or TensorFlow.

Responsibilities

• Define end-to-end blueprints for AI solution architecture.
• Embed AI/ML features into legacy applications.
• Implement ethical AI guardrails and data privacy protections.
• Establish CI/CD for AI and model retraining processes.
• Design architecture for autonomous decision-making systems.

Skills

MLOps

Containerization

CI/CD pipelines

AWS

Azure AI

Data Management

LLMs

Generative AI

RAG

PyTorch

TensorFlow

Job description

NTT DATA, Inc. is seeking an AI Architect in Dallas to design and lead enterprise-scale AI, ML, and Generative AI solutions on AWS and Azure. You will be responsible for end-to-end AI architecture, ensuring integration with enterprise systems and governance standards.

The ideal candidate will have a robust background in MLOps, AI frameworks, and cloud platforms. The position offers opportunities to lead innovative projects in a collaborative environment and contribute to AI-driven solutions.