GenAI Architect

NTT DATA Services•Plano, TX

About The Position

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.

Requirements

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 Integration, 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.
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.

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.