Senior AI Architect: Cloud-Scale GenAI & RAG Lead

Talentify; Dallas (TX); On-site; USD 180,000 - 250,000; Full time

Job summary

NTT DATA in Dallas seeks an experienced AI Architect to design and lead enterprise-scale AI, ML, and Generative AI solutions on AWS and Azure, with Copilot as the UX layer. You will define end-to-end architecture, ensure scalability, governance, and integration with existing IT landscapes.

The role covers RAG, multi-agent AI, MLOps, and cloud-native platforms, plus leading collaborations with data scientists and software engineers to deliver production-ready AI systems.

Qualifications

• 7+ years in MLOps, CI/CD, and containerization.
• Experience deploying AI on AWS/Azure with enterprise scale.
• Proficiency with feature stores and vector databases.
• Familiarity with LLMs, Generative AI, and RAG concepts.

Responsibilities

• Design end-to-end AI architectures spanning data ingestion, model training, deployment and monitoring.
• Embed AI/ML features into enterprise apps, ERPs, and cloud-native systems.
• Establish governance, risk management, data privacy, and explainability standards.
• Develop and maintain MLOps pipelines, model versioning, monitoring and retraining, drift detection.
• Lead cross-functional teams and guide enterprise AI strategy across business lines.

Skills

MLOps

Docker/Kubernetes

CI/CD pipelines

Cloud platforms (AWS/Azure)

LLMs / Generative AI

RAG

Tools

PyTorch

TensorFlow

Vector databases (Pinecone/FAISS/Milvus)

Job description

NTT DATA in Dallas seeks an experienced AI Architect to design and lead enterprise-scale AI, ML, and Generative AI solutions on AWS and Azure, with Copilot as the UX layer. You will define end-to-end architecture, ensure scalability, governance, and integration with existing IT landscapes.

The role covers RAG, multi-agent AI, MLOps, and cloud-native platforms, plus leading collaborations with data scientists and software engineers to deliver production-ready AI systems.