GenAI Architect

About the role

NTT DATA is looking for a GenAI Architect to join its Heredia office. You will lead the design and delivery of cutting‑edge Generative AI solutions for a variety of industries, working closely with cross‑functional teams and clients.

Key responsibilities

• Design, develop and deploy AI/ML and Generative AI applications such as prediction systems, recommendation engines, text analytics, computer‑vision models, chatbots and content‑intelligence platforms.
• Build and operationalise models using TensorFlow, PyTorch, Keras, spaCy, scikit‑learn and other modern frameworks.
• Apply RAG (Retrieval‑Augmented Generation) techniques with LangChain, LlamaIndex and vector databases like FAISS and Milvus.
• Integrate and manage LLM APIs from Hugging Face, OpenAI, Google Vertex AI and AWS Bedrock.
• Develop scalable APIs with Flask, Django, Django Rest Framework or FastAPI.
• Collaborate with data engineers, product owners and clients to create end‑to‑end AI pipelines, from data ingestion to monitoring.
• Support prototyping, proof‑of‑concepts and private‑AI solutions that ensure data privacy and intelligent automation.
• Stay current with AI trends and contribute to NTT DATA’s global GenAI platform.

Required profile

• 5+ years of professional experience with Python and its data‑science ecosystem.
• 3+ years architecting high‑impact Generative AI solutions for diverse clients.
• 10+ years overall experience in AI/ML projects, including predictive analytics and recommendation systems.
• Strong statistical, machine‑learning, NLP and generative‑model knowledge.
• Proven ability to communicate technical concepts to both technical and non‑technical stakeholders.

Required skills

• Python
• TensorFlow
• PyTorch
• Keras
• spaCy
• scikit‑learn
• GANs and Transformers
• LangChain
• LlamaIndex
• FAISS
• Milvus
• Hugging Face
• OpenAI
• Google Vertex AI
• AWS Bedrock
• Flask
• Django
• Django Rest Framework
• FastAPI