Gen AI Architect Full-time

Req ID: 290873

NTT DATA Services 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 Gen AI Architect to join our team in Plano, Texas (US-TX), United States (US).

As a GenAI 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:

• 1+ 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

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $132,975 – $221,625. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

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About NTT DATA Services

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients’ long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA Services 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.