Req ID: 388867

NTT DATA strives to hire exceptional, creative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a GenAI Architect to join our team in Remote, Karnātaka (IN-KA), India (IN).
Key Responsibilities:
• Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.
• Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers.
• Work with RAG (Retrieval-Augmented Generation) techniques.
• Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.
• Support the development of GenAI use cases, prototypes,



and POCs tailored to specific industry requirements.
• Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.
• Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.
• Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.
• Contribute to the development of frameworks, capabilities, and features for NTT DATA’s global GenAI platform and TechHub.

Minimum 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 that is not limited to their own personal development environment.
• 2+ years strong fundamentals in building GenAI solutions, preferably using Agentic frameworks.
• 2+ years deep knowledge in all of the following areas:
o 2+ years Predictive Analytics
o 2+ years Machine Learning

📌 GenAI Architect (India)
🏢 NTT DATA Services
📍 India