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