GenAI Architect

NTT DATA, Inc.; Rajuwali; Remote; INR 4,500,000 - 7,500,000; Full time

Job summary

NTT DATA is seeking a GenAI Architect to join a remote team in India, focusing on Karnātaka. The role involves developing and deploying GenAI/AI solutions, building end-to-end ML pipelines, and collaborating with cross-functional teams to deliver client-centric AI capabilities.

You will stay ahead of GenAI, LLMs, and related trends, work with RAG techniques, and contribute to the global GenAI platform and TechHub. 12+ years of Python/ML experience is expected.

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: Predictive Analytics, Machine Learning and Deep Learning, Generative AI, Agentic systems, ML Ops / AI Infrastructure, 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.

Responsibilities

• Develop, and implement AI/ML and Generative AI solutions across domains (prediction systems, recommender engines, text analytics, CV, chatbots, content intelligence).
• Build and deploy advanced ML models using TensorFlow, PyTorch, Keras, SpaCy, and scikit-learn.
• Apply deep knowledge of statistics, ML, NLP, and generative models including GANs and transformers.
• Work with Retrieval-Augmented Generation (RAG) techniques.
• Collaborate with cross-functional teams to design end-to-end AI pipelines from data ingestion to deployment and monitoring.
• Support GenAI use cases, prototypes, and POCs tailored to industry requirements.
• Communicate technical concepts clearly to 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 and features for NTT DATA’s GenAI platform and TechHub.

Skills

Python

ML

DL

Generative AI

Agentic frameworks

ML Ops

LLMs

Cloud AI services

Azure OpenAI

Vertex Gen AI

AWS AI

RAG

Transformers

NLP

Education

Masters in AI

Tools

TensorFlow

PyTorch

Keras

SpaCy

scikit-learn

Job description

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:
• 2+ years Predictive Analytics
• 2+ years Machine Learning and Deep Learning
• 2+ years Generative AI
• 2+ years Agentic systems
• 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.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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