Gen AI Solution Architect

As a GenAI Solution Architect Lead Advisor 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: 

• 3+ 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 

• 3+ years of experience using Python. 

• Ability to travel at least 25%. 

Preferred Skills: 

• Master’s degree preferred. 

• Experience with Nvidia NeMo Inference Manager (NIM) for deploying and managing AI models at scale. 

• Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution. 

• Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic. 

• Maintains a flexible "can-do" attitude and a commitment to success.   

• Professional verbal and written communication. 

• Undergraduate or Graduate degree preferred