Req ID: 294788
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 AI Director to join our team in Plano, Texas (US-TX), United States (US).
Key Responsibilities: Possess deep unde rstanding 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
• Rapidly develop prototypes and proof of concepts (PoCs) in areas such as LLMs, NLP, deep learning (DL), machine learning (ML), object detection, classification, and tracking.
• 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:

• 2 years of experience architecting high-impact GenAI solutions for diverse clients.
• 10 year(s) of experience participating in projects that focused on one or more of the following areas:
• Predictive Analytics
• Data Design
• Generative AI
• AI/ML
• ML Ops
• 4 years of experience using Python.
• Ability to travel at least 25%.
• Bachelor ’s Degree required.

Preferred Skills:

• Master’s degree preferred.
• Experience with Nvidia NeMo Inference Manager (NIM) for deploying and managing AI models at scale.
• Primary Cloud Platform: Microsoft Azure.
• Azure Services: Azure OpenAI, Azure AI Services, Cognitive Services.
• Secondary Cloud Platforms: AWS, GCP
• AWS Services: Amazon Bedrock, Amazon SageMaker, AWS AI Services (Lex, Comprehend, Polly, Rekognition)
• GCP Services: Google Vertex AI, Google Cloud AI, Google Cloud Natural Language, Speech-to-Text and Text-to-Speech,Vision AI
• LLM Experience: OpenAI, LLaMA, Grok, Anthropic, Gemini, Bedrock, Coherent, Mistral; Hugging Face Transformers, TensorFlow.
• Custom model development text summarization and question answering; LLM evaluation using BLEU and ROUGE metrics.
• Programming Proficiency: Python, SQL.
• AI/ML Expertise: Cognitive services, NLP, generative AI.
• Frameworks and Tools: Langchain, LLaMA Index, Vector DBs like PineCone.
• Front-end Skills: REACT, Angular, Streamlit, Chainlit, Flask.

About NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.