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AI Architect

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 an AI Architect to join our team in Plano, Texas (US-TX), United States (US).

As an AI Architect with NTT DATA, you will shape and drive the design, development, and implementation of transformative AI solutions. You will lead high-impact projects, conceptualize groundbreaking frameworks, and collaborate with cross-functional teams to deliver unparalleled AI products.

Key Responsibilities

• Possess deep understanding of cloud systems, network architectures, identity management (authentication and RBAC), and various services available in cloud systems.
• Experience working on all aspects of enterprise scale implementation for AI / GenAI solutions including architecture, design, security, infrastructure, MLOps / GenAIOps
• Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
• Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.
• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
• Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
• Have problem-solving abilities combined with good communication skills.
• Deploy knowledge of Azure DevOps, YAML, Shell scripting, Terraform, and pipelines.
• Understand how to fine-tune models, quantize models, and deploy models.
• Design integrations between various cloud-based services through APIs, keeping modular designs in mind.
• Apply knowledge of data engineering tools and technologies and understanding of concepts such as big data and data pipelines
• Scope, manage, and drive complex GenAI projects and programs to successful completion.
• Design and implement GenAI frameworks and patterns tailored to client needs.
• Architect and lead the implementation of GenAI use cases, projects, and POCs across multiple industries.
• Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks
• Utilize best practices and creativity to address challenges and deliver impactful solutions.
• Conduct market research, formulate perspectives, and communicate insights to clients and stakeholders.
• Establish strong client relationships, gaining insights into project requirements and challenges.
• Communicate complex technical concepts clearly to non-technical audiences.
• Handle data sets of varying complexity, processing massive data streams in distributed computing environments.
• Apply business acumen to analyze data, develop insightful reports, and solve problems.
• Perform ad hoc analyses based on evolving business needs.
• Participate in the analysis and resolution of issues related to information flow and data content.
• Collaborate with data stakeholders to address challenges and enhance data quality.
• Mentor junior data scientists and GenAI engineers, fostering professional growth within the team.
• Conduct training sessions to enhance overall data science skills within the organization.

Basic Qualifications

Preferred Skills