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NTT DATA North America · 2 hours ago

AI Architect

Plano, TX

Full-time

Hybrid

Senior Level, Lead/Staff

12+ years exp

NTT DATA North America is a global innovator of business and technology services, and they are seeking an AI Architect to join their team in Plano, Texas. The role involves shaping and driving the design, development, and implementation of transformative AI solutions while leading high-impact projects and collaborating with cross-functional teams.

ConsultingDigital MarketingInformation ServicesInformation TechnologyIT Management

H1B Sponsor Likely

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

Qualification

AI/GenAI solutionsML frameworksPythonCloud systemsMLOps/GenAIOpsData engineering toolsAzure DevOpsStatisticsCommunication skillsProblem-solving abilitiesMentoring

Required