NTT DATA is seeking a dynamic GenAI Architect to innovate and grow with us. This role is for individuals passionate about building the future of technology within an inclusive and adaptable organization.

Join our team as a highly skilled AI/ML & Generative AI Architect. You will leverage deep expertise in artificial intelligence, machine learning, Generative AI, LLMs, NLP, and predictive modeling. This position is ideal for someone experienced in developing cutting-edge AI solutions using modern frameworks and cloud tools, collaborating across teams, and delivering impactful AI applications to various industries.

Design, develop, and implement advanced AI/ML and Generative AI solutions across diverse domains such as prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.

Build and deploy sophisticated ML models using frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Apply profound knowledge of statistics, machine learning, NLP, and generative models, including GANs and transformers.

Utilize RAG techniques and tools such as Langchain, LlamaIndex, and vector databases like FAISS and Milvus. Integrate and manage LLM APIs and registries from providers like Hugging Face, OpenAI, Google Vertex AI, and AWS Bedrock.

Develop scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI. Collaborate with cross-functional teams to create end-to-end AI pipelines, from data ingestion to model deployment and monitoring.

Support the creation of GenAI use cases, prototypes, and POCs tailored to specific client needs. Maintain and enhance data infrastructure for large-scale dataset collection, cleaning, and analysis.

Clearly communicate technical concepts to both technical and non-technical stakeholders. Engage with clients to understand business requirements and deliver customized AI/ML solutions that drive value.

Drive innovation in Private AI and Smart Agent Solutions, emphasizing data privacy and intelligent automation. Stay abreast of the latest trends and advancements in AI, GenAI, LLMs, and related fields. Contribute to the development of frameworks and features for NTT DATA’s global GenAI platform and TechHub.

A minimum of 5 years of experience in Python programming and relevant ML/data science packages is required. You should also have at least 3 years of experience architecting high-impact GenAI solutions, ideally focusing on Private AI and Smart Agentic Solutions.

Candidates should possess 10+ years of experience in projects involving Predictive Analytics, Data Integrations, System Design and Architecture, AI/ML, or ML Ops. A strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations is essential.

Demonstrated hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services, is a key requirement.

Essential soft skills include strong problem-solving abilities, critical thinking, and effective communication for conveying complex AI topics to diverse stakeholders. The ideal candidate is self-driven, collaborative, and adaptable to fast-paced environments.