GenAI Architect

Req ID: 388867 

NTT DATA strives to hire exceptional, innovative 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 and Deep Learning
o    2+ years Generative AI
o    2+ years Agentic systems
o    2+ years ML Ops / AI Infrastructure
•    2+ years strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.
•    2+ years hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.

Soft Skills:

•    Strong problem-solving skills and critical thinking.
•    Effective communicator capable of translating complex AI topics to stakeholders. •    Self-driven, collaborative, and adaptable to fast-paced environments.