GenAI Architect: Design & Deploy Next-Gen AI Systems

NTT America, Inc.; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

NTT DATA seeks a GenAI Architect in Plano, TX to design and deliver AI/ML and Generative AI solutions across industries. You will work with LLMs, NLP, and RAG techniques, building scalable pipelines and APIs using Python frameworks and modern ML tools.

Ideal candidates have 5+ years of Python/ML experience and 3+ years crafting GenAI solutions for clients, with hands-on cloud platform experience (Azure/OpenAI, Vertex AI, AWS).

Qualifications

• 5+ years of Python and ML/data science packages.
• 3+ years architecting GenAI solutions for diverse clients.

Responsibilities

• Design, develop, and implement AI/ML and Generative AI solutions across domains.
• Build and deploy advanced ML models using TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Apply statistics, ML, NLP, and generative models (GANs, transformers).
• Work with RAG techniques and tools including Langchain, LlamaIndex, FAISS, Milvus.
• Integrate and manage LLM APIs and registries (Hugging Face, OpenAI, Vertex AI, Bedrock).
• Build scalable APIs using Flask, Django, Django Rest Framework, or FastAPI.
• Collaborate across teams to design end-to-end AI pipelines.
• Support GenAI use cases, prototypes, and POCs for industry needs.
• Maintain data infrastructure for large-scale datasets.
• Communicate technical concepts clearly to stakeholders.
• Engage with clients to deliver customized AI/ML solutions.
• Demonstrate innovation in Private AI and Smart Agent Solutions.
• Stay current with AI, GenAI, LLMs trends.

Skills

Python

GenAI

LLMs

Cloud platforms

API design

Tools

TensorFlow

PyTorch

Keras

Spacy

scikit-learn

Langchain

LlamaIndex

FAISS

Milvus

Hugging Face

OpenAI

Vertex AI

Bedrock

Flask

Django

FastAPI

Job description

NTT DATA seeks a GenAI Architect in Plano, TX to design and deliver AI/ML and Generative AI solutions across industries. You will work with LLMs, NLP, and RAG techniques, building scalable pipelines and APIs using Python frameworks and modern ML tools.

Ideal candidates have 5+ years of Python/ML experience and 3+ years crafting GenAI solutions for clients, with hands-on cloud platform experience (Azure/OpenAI, Vertex AI, AWS).