Remote GenAI Architect — ML & AI Platform Leader

NTT America, Inc.

Indiana

Hybrid

USD 150,000 - 230,000

Full time

14 days+
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Job summary

NTT DATA seeks a GenAI Architect to drive end‑to‑end GenAI solutions across domains, including prediction systems, recommendations, NLP, and content intelligence. You will design scalable architectures, lead ML model development, and implement production pipelines with LLMs, RAG, and AI infrastructure.

You will collaborate with cross‑functional teams, engage with clients to translate needs into concrete deployments, and stay ahead of trends in GenAI and transformers.

Qualifications

  • Masters in AI from a reputed College / University.
  • 12+ years Demonstrated using Python and relevant packages for ML and data science in multiple real projects.
  • 2+ years strong fundamentals in building GenAI solutions, preferably using Agentic frameworks.
  • 2+ years deep knowledge in ML/DL, Generative AI, Agentic systems, ML Ops.

Responsibilities

  • Develop, and implement AI/ML and Generative AI solutions across domains.
  • Build and deploy advanced ML models using TensorFlow, PyTorch, Keras, Scikit-learn.
  • Apply deep knowledge of statistics, ML, NLP and generative models including GANs and transformers.
  • Collaborate with cross-functional teams to design end-to-end AI pipelines.
  • Support GenAI use cases, prototypes, and POCs tailored to industry needs.

Skills

GenAI Architect
Python
ML Ops
LLMs
Agentic frameworks
cloud AI platforms
RAG

Education

Master's in AI

Tools

TensorFlow
PyTorch
Keras
Spacy
scikit-learn
Azure OpenAI
Google Vertex Gen AI

Job description

NTT DATA seeks a GenAI Architect to drive end‑to‑end GenAI solutions across domains, including prediction systems, recommendations, NLP, and content intelligence. You will design scalable architectures, lead ML model development, and implement production pipelines with LLMs, RAG, and AI infrastructure.

You will collaborate with cross‑functional teams, engage with clients to translate needs into concrete deployments, and stay ahead of trends in GenAI and transformers.

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