GenAI Architect

About the role

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.

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 Retrieval‑Augmented Generation (RAG) 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.

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+ years of experience participating in projects 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.

Skills

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