Generative AI Solutions Architect at NTT DATA, Inc. in Remote, Texas, United States of America

Job description

• The Generative AI Solutions Architect at NTT DATA is responsible for designing, developing, and supporting AI-enabled applications, workflows, and reusable components for the Global IP Network. The role involves evaluating foundation models, integrating model-driven workflows, and providing technical input to project teams. Candidates must have a bachelor’s degree in a relevant field or equivalent experience, with demonstrated expertise in GenAI solutions, software engineering practices, and model-driven workflows. The position requires strong communication, analytical, and technical judgment skills, as well as experience in technical documentation and stakeholder engagement. The starting pay range is $92K–$131K, with potential for incentive compensation. This is a remote role based in the United States.
• The Generative AI Solutions Architect designs, develops, and supports AI-enabled applications, workflows, and reusable capabilities while helping teams evaluate and implement AI solutions effectively. This role blends software engineering, AI architecture, and stakeholder consulting to drive secure, scalable, and sustainable AI adoption across the GIN organization.
• Want to be a part of our team?

Responsibilities

• Design, develop, test, deploy, and maintain GenAI-enabled applications, services, APIs, and reusable components for internal platforms and project teams.
• Evaluate and select foundation models and deployment approaches, including open-source and locally hosted models such as Qwen and Ollama-based deployments, using quality, latency, cost, security, privacy, and platform-fit criteria.
• Design and integrate model-driven workflows such as prompting, retrieval-augmented generation (RAG), tool use, and agentic patterns, with appropriate testing, evaluation, guardrails, and fallback behavior.
• Provide early technical input to project teams on feasibility, architecture, model selection, data requirements, GPU capacity, security, responsible AI considerations, performance, and operational risks.
• Create and maintain reference designs, technical documentation, evaluation methods, operating procedures, standards, observability guidance, and recommended usage patterns for GenAI solutions.
• Partner with software, infrastructure, platform, security, and operations teams; educate technical and non-technical stakeholders on GenAI capabilities and limitations; and provide actionable feedback to the Executive, Head - SAS on platform gaps and improvement priorities.
• Develop and maintain reporting at established intervals on significant GIN AI initiatives, activities, and project outcomes. Maintain current GIN AI documentation and guidance, including recommended AI models, core tools, platforms, and other resources available to GIN staff, updating content as organizational needs, technologies, and standards evolve.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field; or equivalent practical experience.
• Working knowledge of software engineering practices relevant to GenAI solutions, including Python or comparable programming, APIs, source control, testing, containers, and automated deployment practices.
• Working knowledge of GPU compute and memory considerations, foundation-model capabilities and limitations, and open-source or locally hosted model platforms, including tools such as Ollama and models such as Qwen.
• Demonstrated experience designing, building, and supporting GenAI-enabled applications, services, or internal tools in an enterprise or applied engineering environment.
• Demonstrated experience working across software engineering, infrastructure, architecture, security, operations, and business stakeholders to translate use cases into practical technical solutions.
• Demonstrated experience developing and integrating model-driven workflows, including prompting, inference patterns, testing, evaluation, and support practices.
• Demonstrated experience creating technical documentation, implementation guidance, or standards for both technical and non-technical audiences.
• Demonstrated experience working in network services, telecommunications, managed services, or similar infrastructure-based companies.
• Ability to assess technical tradeoffs involving solution quality, cost, latency, performance, scalability, maintainability, security, privacy, and operational fit.
• Strong written and verbal communication skills, including the ability to explain complex GenAI concepts, risks, and recommendations clearly to mixed audiences.
• Strong analytical and experimental approach to model and workflow evaluation, including defining acceptance criteria and interpreting evaluation results.
• Ability to work independently and across project teams, exercise sound technical judgment, identify risks early, and recommend approaches that can be supported at scale.

Skills

Required

• Sound technical judgment
• Stakeholder engagement
• Python
• APIs
• Source control
• Testing
• Containers
• Automated deployment
• GPU compute
• Foundation models
• Open-source model platforms (Ollama)
• Models (Qwen)

Benefits

• NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is 92K-131K. 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.
• This position may also be eligible for incentive compensation based on individual and/or company performance.