GenAI Architect

NTT DATA, Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

NTT DATA is seeking a highly skilled AI/ML & Generative AI Architect to join our Bangalore team. You will design and deploy GenAI solutions, leverage LLMs, NLP, and RAG techniques across industries, coordinating with data engineers, software engineers, and business stakeholders.

You will work with frameworks like TensorFlow, PyTorch, Langchain, and tools such as FAISS and Milvus, integrate with cloud AI services, and build scalable Python APIs.

Qualifications

• 5+ years of Python and ML/data‑science packages experience.

Responsibilities

• Design, develop, and implement AI/ML and Generative AI solutions across domains.
• Build and deploy ML models with TF, PyTorch, Keras, Spacy, scikit-learn.
• Apply statistics, NLP, and generative models including GANs and transformers.
• Work with RAG techniques and tools like Langchain, LlamaIndex, FAISS, Milvus.
• Integrate and manage LLM APIs (Hugging Face, OpenAI, Vertex AI, AWS Bedrock).
• Build scalable APIs using Flask, Django, DRF, or FastAPI.
• Collaborate with cross-functional teams to design end‑to‑end AI pipelines.

Skills

Python

GenAI solutions

LLMs

NLP

Cloud platforms

RAG techniques

Frame­works (TF, PyTorch)

Tools

TensorFlow

PyTorch

Keras

Spacy

scikit-learn

Langchain

LlamaIndex

FAISS

Milvus

Flask

Django

FastAPI

Azure OpenAI

Google Vertex AI

AWS Bedrock

Job description

Select how often (in days) to receive an alert: Create Alert

Select how often (in days) to receive an alert:

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 Bangalore, Karnātaka (IN-KA), India (IN).

AI/ML & Generative AI Architect

Job Summary:

We are seeking a highly skilled and motivated AI/ML & Generative AI Architect to join our growing team. This role requires deep expertise in artificial intelligence and machine learning with a particular focus on Generative AI, LLMs, NLP, and Recommendation & Predictive Modelling. The ideal candidate will have experience developing innovative AI solutions using modern frameworks and cloud-based tools, working across cross-functional teams, and delivering high-impact AI/ML applications for diverse industries.

Key Responsibilities

• Design, 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 and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus.
• Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).
• Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI.
• 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.
• Maintain and enhance data infrastructure for collecting, cleaning, and analyzing large-scale datasets.
• 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.
• Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation.
• 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

• 5+ years of experience using Python and relevant packages for ML and data science.
• 3+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions
• 10+ year(s) of experience participating in projects that focused on one or more of the following areas:
  • Predictive Analytics
  • Data Integrations
  • System Design and architecture
  • AI/ML
  • ML Ops
• Strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.
• 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. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .