GenAI Solutions Architect: Scalable AI Platforms & Strategy

nttlimited; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

NTT DATA seeks a Generative AI Solutions Architect to design, develop, and support GenAI-enabled applications and workflows across the GIN division. You will evaluate models, plan deployments, and ensure secure, scalable adoption with cross-functional teams.

You will collaborate with software, infrastructure, platform, security, and operations teams to translate use cases into practical technical solutions and maintain reference designs and procedures for GenAI initiatives.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field or equivalent practical experience.
• Working knowledge of Python, APIs, source control, testing, containers, and automated deployment.
• Knowledge of GPU compute and memory, foundation-model capabilities, and open-source or hosted model platforms including Ollama and Qwen.

Responsibilities

• Design, develop, test, deploy, and maintain GenAI-enabled applications, services, and reusable components.
• Evaluate and select foundation models and deployment approaches based on quality, latency, cost, security, privacy, and fit.
• Design and integrate model-driven workflows with testing, guardrails, and fallback behavior.
• Provide input on feasibility, architecture, data needs, GPU capacity, security, and responsible AI considerations.
• Create and maintain reference designs, documentation, and guidance for GenAI solutions.

Skills

GenAI architecture

Python

Cloud platforms

Stakeholder comms

Education

Bachelor's degree in CS/SE

Tools

Ollama

Qwen

Job description

NTT DATA seeks a Generative AI Solutions Architect to design, develop, and support GenAI-enabled applications and workflows across the GIN division. You will evaluate models, plan deployments, and ensure secure, scalable adoption with cross-functional teams.

You will collaborate with software, infrastructure, platform, security, and operations teams to translate use cases into practical technical solutions and maintain reference designs and procedures for GenAI initiatives.